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The die manufacturing industry is widely based on the use of conventional machining tools. However, several studies have proposed Additive Manufacturing (AM) for molds and die inserts in the last ten years. The AM flexibility allows designing and manufacturing complex surfaces. This flexibility can be used to optimize the cooling channels of die inserts (conformal cooling). The research aims to evaluate whether Design for Additive Manufacturing commercial tools can be employed in redesigning die inserts. Besides, the paper describes a method to redesign a die insert for High-Pressure Die Casting using Selective Laser Melting. A test case is proposed to analyze an AM die insert’s redesign process for improving the thermal exchange and the material distribution. The simulation of the AM process supports the drafting conclusions from the results.

Simulation in healthcare is rapidly replacing more traditional educational methods, becoming a fundamental step in the medical training path. Medical simulations have a remarkable impact not only on learners’ competencies and skills but also on their attitudes, behaviors, and emotions such as anxiety, stress, mental effort, and frustration. All these aspects are transferred to the real practice and reflected on patients’ safety and outcomes. The design of medical simulations passes through a careful analysis of learning objectives, technology to be used, instructor’s and learners’ roles, performance assessment, and so on. However, an overall methodology for the simulation assessment and consequent optimization is still lacking. The present work proposes a transdisciplinary framework for the analysis of simulation effectiveness in terms of learners’ performance, ergonomics conditions, and emotional states. It involves collaboration among different professional figures such as engineers, clinicians, specialized trainers, and human factors specialists. The aim is to define specific guidelines for the simulation optimization, to obtain enhanced learners’ performance, improved ergonomics, and consequently positively affect the patient treatment, leading to cost savings for the healthcare system. The proposed framework has been tested on a low-fidelity simulation for the training of rachicentesis and has allowed the definition of general rules for its enhancement.

This paper presents a parametric cost model for estimating the raw material cost of components realized employing the investment casting process. The model is built using sensitivity analysis and regression methods on data generated by an analytic cost model previously developed and validated by the same authors. This is the first attempt of developing a parametric cost model for investment casting based on activity-based costing. The proposed cost model accounts component volume, material density and material price. The error in estimating the raw material cost for components whose volume is within the common range of investment casting is around 11%.

The paper provides a method to acquire, process, and represent DfMA rules to help designers and engineers in the development of mechanical products compliant with manufacturing and assembly technology. This research work wants to define a general method able to link DfMA design guidelines (knowledge engineering) with geometrical product features that are available by the investigation of the 3D model. Numerical parameters of design features are related to design guidelines for the identification of manufacturing and assembly issues within the analysis of the 3D model.

One of the most actual and consistent drivers for the industry is sustainability, which includes three main pillars: environment, economics, and society. While numerous methods for environmental and economic sustainability assessment have been proposed, social sustainability assessment is still lacking in structured methods and tools, although human has always played a key role. Moreover, technological development is pushing the industrial world toward a new paradigm, the “Industry 4.0,” which embeds topics such as data digitalization, cyber-physical systems, and machine learning. It entails significant changes in human resources management, without reducing their importance. Humans were part of the manufacturing system from the first industrial revolution, and no automation or digitalization can be possible without humans. The industry can no longer underestimate the reasonable application of human factors and ergonomics principles to the workplace. For this purpose, the paper provides a novel transdisciplinary engineering method to measure and promote social sustainability on production sites. It exploits Internet of Things technology to support the (re)design of manufacturing processes and plants toward human-centered connected factories. To improve the workers’ well-being has positive effects on their health, satisfaction, and performance. The method has been implemented in a real industrial case study within the footwear industry. The sole finishing process has been analyzed from different perspectives to solve ergonomics-related problems and implement effective improvement strategies.

The use of computational methods in engineering design is a long-standing issue. Several mathematical approaches have been investigated in the literature to support the design optimization of engineering products. Most of them are focused on the optimization of a single structure, without considering a system of structures. The design of supports for electric lines requires tools for the management and sizing of a system of structures that interacts with each other under specific load conditions. This paper deals with a framework to support the design optimization of an overhead line using methods related to the theory of the Constraint Satisfaction Problem. The object-oriented model of a transmission line has been described and then implemented into a prototypical software platform. The parameters to be considered as variables are defined by the designer at the beginning of the optimization process. These variables are geometrical dimensions, poles locations, cable pre-tension, etc. The set of constraints is related to normative, climate conditions, datasheets, material limits, and expert knowledge. To demonstrate the effectiveness of this approach, a case study has been developed considering a variable number of constraints and parameters. In particular, the case study is focused on the design of a low-voltage sub-network between two distribution substations.

Industrial process digitalisation is pervading numerous areas of production system, including sustainability. The study presents a method to affirm how the social sustainability of a company also passes through the protection of the welfare of the worker and describes a case study focused on small and medium-sized enterprises (SMEs). The method considers different aspects including the characteristics of the worker/s, the working context, and the content of the work activity. According to the objectives of social sustainability in the factory environment multifactorial variables related to the workers wellbeing have been defined. IoT system and ad-hoc questionnaires can be used to collect such variables. Following the proposed method, the results of the case study offer many in-depth insights, from the objective analysis of personal characteristics to the organisation of work, and from the application of international standards to the evaluation of psychological parameters.

The paper describes an approach for analyzing the use of a Laser-Guided Vehicle (LGV) in the context of the small and medium-sized enterprise. The use of LGVs is an efficient solution to provide more flexibility in the context of Just-In-Time production; however, the investment cost can limit this application. A methodology has been proposed in this work to analyze the technical feasibility of using an LGV in the manufacturing industry of customized products. The test case focuses on the study of a laser-guided system to optimize the handling of molds for customized production. In this scenario, an LGV is proposed to substitute manual carts used for moving molds from the warehouse to the injection machines. The traditional path included an intermediate station for pre-heating the molds in hot-air ovens. The proposed solution includes the study of an induction heating system on the LGV to optimize time and energy consumption.

The ever-increasing competitiveness, due to the market globalization, has forced the industries to modify their design and production strategies. A key point is the development of products that fulfil the individual customer needs as close as possible. ETO companies manufacture new products according to the customer technical requirements given in the request for proposal.Computational Design Synthesis is the research area focused on activities to automate the design phase in the production of products such ETO structures. In this context, Knowledge Based Engineering applications are usually applied to automate design routines and to implement a multidisciplinary product design. Knowledge should be elicited and formalized, so that it can allow the past cases retrieval and the connection between customer specifications and the product configuration tasks. This paper proposes an approach for the rapid definition of the product structure related to a ETO product, including the early cost evaluation in configurations. The research scope aims at defining a framework to support the knowledge repository, which is the Knowledge Based used to design new products and estimate their costs.

Smart environment is a key challenge for current ICT research: it is one of the solutions that can enhance people’s quality of life and enable users with impairment to live independently. Over the years, scientific research has proposed several solutions to help and improve the capabilities of its occupants, but they are often developed for a specific context (e.g. particular disease or impairment). These systems do not adapt to the real needs of users with different profiles, and neglect that the user’s requirements may evolve over time. This research work aims to develop a new adaptive smart system able to support users (with and without disabilities) in performing daily tasks by recognizing their preferences and actions and adapting the system feedback consequently. With the aim to develop an easy, efficient and usable adaptive smart system, the final users have been involved in the whole design and development process. The system was validated through a virtual reality system allowing the user interaction evaluation and helping the usability improvement.

In recent years, the Cyber-Physical Systems (CPSs), have become a new trend to increase and to enrich the interactions between physical and virtual systems with the goal to create a truly connected world in which smart objects interact and exchange data with each other. The CPS is the core of the new industrial revolution called “Industry 4.0”, which promotes the computerization of manufacturing to make decentralized decisions. Within the modular structured smart factories, Cyber-Physical Systems monitor physical processes, create a virtual copy of the physical world, simulate parts of process and implement sophisticated control policies in order to take optimized decisions. This research proposes the modelling and simulation of an induction heating process for aluminium-steel mold, which is used in the production of footwear soles. The modelling supports the simulation of a CPS model related to the use of a multi-use LGV (Laser Guided Vehicle) which transports aluminum-steel molds from a mechanized warehouse to the final rotary production line, used for the soles foaming. In detail, a thermal model and an induction heating electronic circuit model have been studied to describe the whole mold heating system and they have been simulated using Simulink/MATLAB. In addition, two types of controllers, an induction preheating control technique based on a Model Predictive Controller (MPC), and another one based on PID, have been developed in order to analyse the different behaviour of the system.

In this research, a localization system for a particular Automated Guided Vehicle (AGV), namely a Laser Guided Vehicle (LGV), which takes advantage of RSSI data, is described. The vehicle, its sensors and the wireless sensor network are virtualized, in order to provide a software replica of that available in a real factory. A Co-Simulator, composed by two simulation environments, has been implemented: from one hand, Robot Operating System (ROS), the RVIZ and GAZEBO for modeling and simulating the virtual system, and from the other hand, COOJA for reproducing the Wireless Sensor Network (WSN) behavior and RSSI signals. The virtualized LGV in ROS, together with its virtual sensors set, is integrated with the WSN in COOJA, so that localization can be performed by sensor fusion of odometric and RSSI data according to a Kalman Filter approach. The Co-simulator can be used to deploy path-tracking policies and test them before actual implementation in a Cyber Physical System (CPS) scenario.

Nowadays, different commercial tools are available to support engineers during optimization tasks in engineering design; however, many researches have been still studying tools and methods to improve the design process and overcome some limits related to configuration and design optimization. This paper proposes a methodological approach to highlight how a CSP analysis can support the first phase of an optimization analysis, to reduce the design space of solutions to be investigated and subsequently optimized. A test case shows a CSP study applied to steel structures for oil & gas applications.

Nowadays, product configuration and optimization are very important topics in several industrial applications such as the manufacturing of Engineered-to-order (ETO) products, where there is a fierce increase in market competition. The product configuration allows past design solutions to be reused and new product variants to be defined and pre-designed. However, the delivery of new configurations of products requires a technical feasibility analysis before closing the contract of the order with the customer. There is a lack of commercial tools which can support the designer from the early configuration phase to the product optimization with the automatic generation of geometric models and simulations. While traditional software tools can be used for the product configuration, with automation in the CAD modeling, other ones can combine optimization algorithms with numerical simulations. However, the combination of all these design levels requires the development of a dedicated platform tools. The research aims to reduce time and cost related to the early design phase of an oil & gas system, focusing on gas turbine ducts. The paper proposes a methodological approach to integrate the design optimization with the product configuration using Model-Based simulations to verify the technical feasibility and to optimize the product design. As a test case, the early design of a gas turbine chimney is proposed.

In the context of Industry 4.0, this paper focuses on integration of workers in the digitalized factory. It proposes a method to design an IoT infrastructure and acquire human-related data from a production site in order to improve workers wellbeing and overall productivity. The method permits to identify bottlenecks and criticalities from a social point of view, focusing on the human performance, and define corrective actions at different levels (operations, plant layout or shift management). A case study was developed in collaboration with an Italian sole producer to validate the method and the related data acquisition system.

In this work, a PI-Sliding mode controller is developed in feedback loop from a non-inverting buck boost converter, in order to control the recharge of a Li-Ion battery of a Laser Guided Vehicle (LGV), which is the last stage of an industrial wireless recharge power station. In detail, the industrial case study regards the wireless recharge of a LGV employed to transport molds used for footwear soles production. The proposed solution has been modelled and developed in the MATLAB/Simulink® framework, and the performances of this controller are compared with the classical PID industrial controller. The obtained results depend only from the developed recharge system and can be applied in other industrial cases (e.g., car battery recharge). In particular, the numerical simulations show that the proposed solution has an important impact on the energy consumptions.

Nowadays, several consumer goods are sold with an energy label which provides energy information about consumption, efficiency, noise, and performance. These labels are regulated by local energy policy and governments. Because of this, customers are becoming increasingly aware about the energy efficiency and consumption of products such as household appliances. In Europe, several household appliances are involved in the European Energy Labelling Directive. Therefore, the manufacturers are paying attention to Ecodesign tools and methods to support the development of eco-innovation and sustainable products. In this context, the paper proposes a design methodology to support the development of efficient cooker hoods using an approach based on a constraints satisfaction problem model. The scope of the proposed research is to reduce the time-to-market of household appliances considering the energy efficiency optimization from the early design phases to the embodiment design. A Case Based Reasoning is also implemented to define a pre-configured model of product before the CSP optimization. The CSP model has been developed as an analytical system, which can predict the energy label achieved by a final prototype of a cooker hood. The interaction of such tools can fill the gap between traditional design methods and eco-innovation approaches, in order to support the designer in the decision-making activity. The test case shows a cooker hoods optimization based on a CSP tool, developed using a programming framework based on Gecode platform.

Induction cooktops are very used as an efficient alternative to traditional cooking systems such as gas hobs. Even if the energy efficiency of induction cooktops is twice as much as the traditional gas burners, the differences in terms of energy price can limit the diffusion and marketing of induction cooktops. Recent eco-normative are regulating the energy consumption of this kind of household appliances sold in different countries. This paper proposes an automatic temperature control to reduce the energy consumption for induction cooktops. The water boiling test was used as case study to simulate and validate the proposed approach.

Cost estimation is a critical issue for many companies concerning both offers generation and company strategic evaluations. In this paper, a framework for early cost estimation has been proposed to some firms for an assessment of its main features. The aim of the industrial survey is to promote a discussion on the needs and the expectations regarding cost estimation in order to obtain feedbacks to be addresses in the implementation of a software tool. Gather data has led to a ranking of the main characteristics the tool should have.

The scope of the present research is the reduction of cost and time related to the design, prototyping and testing of a Li-ion battery pack, which is used in commercial full electric vehicles using tools for rapid product configuration and simulation. This objective is particularly important for small companies that produce many different batteries in small lots. To develop the product design support system, a preliminary study was necessary. A 3D model was analyzed to simulate real thermal behavior, reproducing a real electric load using a standard ECE-15 cycle. Experimental tests have been conducted on the vehicle and battery to validate the model. An analytical thermal model was developed to evaluate the heat generated by electrochemical reactions inside a Li-ion cell. The outcome of this analytical model was used as the boundary condition in the CFD simulation of the battery model to evaluate the cooling behavior. The rules and results deduced from these studies have allowed the implementation of an easy-to-use knowledge-based configuration tool that supports the designer in the definition of the layout of the battery pack to save time and evaluate costs. As a test case, the battery for an urban freight vehicle was designed using the proposed approach. The achieved results show good performance and robustness of the simplified approach in terms of temperature distribution evaluation and design process efficiency.

Wearable computers allow users to record and access information at any time. The adoption and use of such devices is largely dependent on the users’ acceptance of the technology. Previous studies investigated technology acceptance of wearables without having end-users directly trying the technology. The present paper aims at assessing the user acceptance of a wearable device to support cooking related activities, together with aspects of usability and experience of use. To this end, we developed a kitchen apron with embedded commands for navigating through the contents of a digital cookbook and asked a group of younger (N = 15, mean age 23.9 SD = 2.5) and older users (N = 15, mean age 30.3 SD = 7.6) to deploy it while preparing a recipe. Respondents’ opinions were collected using questionnaires after they had accomplished the cooking task required. Overall, the kitchen apron was well received by both younger and older adults. Findings suggest that the perceived usefulness of the device and the compatibility of it with users’ common activities accounted for the intention to adopt and use a wearable device in the kitchen.

Induction cooktops are very efficient systems, but, their energy consumption should be reduced using a temperature controller for optimizing the electrical power. Such controllers are already widely spread in several applications (air conditioning, ovens, etc.). Induction cooktops work with discrete levels of power, and, therefore, the user can select and modify the requested power level during the cooking. This paper presents the Hardware-In-the-Loop simulation to develop an active temperature controller, which optimizes the energy management of the water boiling using an induction cooktop. A thermal and induction model has been developed in MATLAB/Simulink® framework, while a discrete PID controller has been implemented inside a physical ATMEGA processor and tested within the Hardware-In-the-Loop platform.

Cost Estimation for offer generation in ETO companies is a critical and time-consuming activity that involves technical expertise and a knowledge base. This paper provides an approach to acquire and formalize the design and manufacturing knowledge of a company. The method has been described as a sequence of steps, which moves from the data acquisition of the past projects to the definition of a cost function based on dimensioning parameters. This approach has been experimented on a family of cranes for plants in collaboration with an industrial partner.

During recent years the European Ecodesign Directive has introduced big changes in the design methodology of several energy-using products including consumer goods such as ovens, washing machines and kitchen hoods. Additionally, the introduction of the Energy Labelling Directive pushes manufacturers to implement new energy-saving features in many energy-related products sold in Europe. As a consequence, several companies have been encouraging the improvement of their energy using products paying attention to the related selling cost. Eco-driven products require eco-design tools to support the eco-innovation and the related sustainability improvement. The main scope of the proposed re-search is the reduction of the time-to-market for the energy-using products such as kitchen hoods. In this context, the paper aims to provide an approach to support a pre-evaluation of the energy labeling related to kitchen hoods. A prototypical software tool has been developed in order to simulate the energy performance of new kitchen hood configurations in term of energy efficiency. The approach also considers the introduction of virtual experiments in order to calculate the performance of virtual modules. This tool makes the product-engineer more aware in the decision-making about the energy-saving. As a test case, different product configurations have been compared analyzing the energy labelling and the overall energy performance.

In Europe, kitchen hoods currently come with an energy label showing their energy efficiency class and other information regarding the energy consumption and noise level, as established by the European Energy Labelling Directive. Because of recent regulations, designs of cooker hoods must consider new issues, such as the evaluation of the energy efficiency, analysis of the energy consumption, and product lifecycle impact. Therefore, the development of eco-driven products requires Ecodesign tools to support eco-innovation and related sustainability improvements. The scope of the proposed research is to define a method and an agile and affordable platform tool that can support designers in the early estimation of product energy performance, including the calculation of energy efficiency indexes. The approach also considers the use of genetic algorithm methods to optimize the product configuration in terms of energy efficiency. The research context concerns large and small productions of kitchen hoods. The paper describes the methodological approach within the developed tool. The results show a good correlation between real efficiency values and calculated ones. A validation activity has been described, and a test case shows how to apply the proposed approach for the design of a new efficient product with an A-class Energy Efficiency Index.

Many researchers have been recently approached the integration of products and services since its relevance in modern industrial scenarios. Despite several authors investigated such topics and defined methods to support companies in product-service ideation and design, they proposed methodologies tailored on specific issues: PSS assessment, requirements elicitation, functional modelling, etc. Anyway, neither of them has found an integration among almost of such methods. This paper presents a review of the current literature approaching PSS design and assessment along the last fifteen years. This due to there are different perspectives to frame PSS. According to this context, the paper gives an overview of PSS development in manufacturing industry, laying the groundwork for designers to develop an integrated tool able to incorporate some of the design methodologies and support manufacturing companies involved in the proposal of the PSS instead of traditional product.

In the last century, the quality factor is seen as the key to success of each industry. In industrial companies, total quality management (TQM) principles have been introduced to achieve specific innovations in product and process development, though the continuous improvement (CI). Simultaneously, industrial companies think sustainable manufacturing as a means to create innovation, respecting environmental, economic and social themes. In fact, when a product reach the maturity stage of its life cycle, the improvements are no longer on product itself, but on its production process, optimising energy and resources use, eliminating waste, adopting sustainable end-of-life (EoL) policies, and reducing costs. Indeed, industrial processes require large consumption of resources during the product manufacturing phase. In this context, the paper aims to create a link between sustainable manufacturing and TQM principles, defining a new methodology that uses life cycle assessment (LCA) to assess the impacts of industrial processes inside the existing 'plan, do, check, act' (PDCA) method.

Part 10: Sustainability and Systems Improvement; International audience; To preserve proper growth of the planet, industries have to increase sustainability of produced good according to the compliance and governance regulations for NPD (new product development). Sustainability concerns economical, environmental and social aspects; among these issues, the last theme is the less argued in literature and this paper focuses on the social life cycle assessment of products. One of the crucial aspects of S-LCA, is the definition of impact categories and involved stakeholders. This work, proposes a new S-LCA methodology, according to UNEP/SETAC framework. After the clarification of stakeholders, categories and general notions already known on S-LCA, a test case is shown where the new approach is implemented. In this use case, stakeholders from an Italian product line are analysed, then categories of attribution of social impacts are outlined. The paper offers a step-by-step procedure useful to verify the S-LCA theories currently available on a practical industrial case, defining also weaknesses that might be addressed in future studies.

The recently increase of the EV/PHEV market is in part due to the technological progress of battery systems. The energy storage and charging are the critical aspects of an electric vehicle; Li-Ion batteries allow an increase in storage performance and efficiencies despite the needs of a high number of cells. The single Li-Ion cell is constituted by metals, graphite, various salts and electrolytes which result difficult to dispose of or recycle. Therefore the expected environmental sustainability of any EV is limited by the final impact of battery production and disposal. The proposed research studies the Second Life applications suitable for the Li-Ion battery cells used for electric powertrains in order to promote a Sustainable Transportation and avoid the environmental impact that disposal of these batteries would have. A Life Cycle Assessment (LCA) analysis has been adopted to estimate the gain in terms of environmental impact provided by reusing disposed Li-Ion cells for a Second Life application. An automotive battery pack with LiFePO4 cells has been chosen as a test case, then the life-cycle due to vehicle loads has been predicted by accelerated tests and the residual cell capacity has been experimentally evaluated. A possible Second Life scenario has been studied for the automotive Li-Ion batteries: reusing the disposed cell in a smart grid system after vehicle use to provide the grid energy stabilization and storage. This strategy has been evaluated with an LCA tool taking into account materials (anode, cathode, separator, et.), as well as flows and processes (production, assembly, disassembly) both for production and reuse phases. The research results show a positive effect of the Second Life solution on the environmental impact of the Li-Ion cells; moreover, the collected data will be useful for the Second Life strategies and scheduling during the early design phase. © 2012 IEEE.

For modern manufacturing companies the concept of product-service (PS) is representing a novel way to create new business opportunities, improve sustainability, support continuous innovation, and increase the product value. In this context, high-quality requirements elicitation is crucial for successful PS ideation and the following design. However, traditional product-centred approaches are not able to fully support manufacturing companies moving from product to services. This paper proposes a new methodology to support ideation and preliminary design of sustainable product-service systems (PSSs) within industrial chains. The method is based on quality functional deployment (QFD) approach and allows defining a set of robust requirements for creating new PSSs in respect with the specific customer needs and the sustainability principles of the industrial network. The research demonstrates the method validity on three case studies involving different industrial chains distributed all over Europe (i.e., white goods, machine tools, and textile industry). The case studies demonstrate how the method allows an easy definition of three distinctive PSS concepts starting for the specific market needs, and the robust requirements elicitation concerning both functional and ecosystem aspects.

In the last years introducing measures to face age discrimination and increasing work safety in production environments have become crucial goals. The present research proposes an innovative user interface exploiting Augmented Reality techniques to support frail people, mainly elderly, in everyday work on complex automated machines. It adapts its functionalities according to the user skill, tasks, age, and cognitive and physical abilities thanks to a set of knowledge-based configuration rules. A case study is described to illustrate the methodology to manage the complexity of configuration rules and the resulting developed platform.

Recently, numerous manufacturing companies are moving from product to services to create new business opportunities and to increase the product value. At the same time, sustainability is a crucial aspect for industry. In this context, the research challenge is defining a structured methodology to support the design for sustainability of product-service systems (PSS). While product sustainability has been investigated during the last decades and can be assessed by several tools, sustainability of PSS is almost unexplored. This paper defines an integrated lifecycle and proposes a methodology to identify a set of sustainability indicators to compare different use scenarios and find out the best ones. It adopts a holistic approach to assess sustainability on the basis of the three main impacts: environmental, economical and social. The methodology is illustrated by means of an industrial case study proposing a new model called ‘Hot water as a service’ evolving traditional water heaters.

Patients affected by serious foot pathologies often require special orthotics to stand and walk correctly. Skilled operators obtain such insoles on the basis of manual procedures and following the prescriptions of orthopaedic technicians. The process is handicraft and time consuming. The paper presents a virtual prototyping approach which is based on dedicated foot scanners, CAD-based design tool and milling machines to obtain the bespoke footwear orthotics. The major contribution is a geometric procedure to design complex insole shapes starting from the foot scan and highly customized shoe lasts which are required in case of important deformities.The approach has been tested on several patients thanks to the collaboration with a partner insole producer and some orthopaedic centers. Patients have generally reported positive feedbacks on the comfort and functionality of the insoles.

Nowadays, design processes need of agile and flexible tools and methods to meet market needs and Ecodesign directive in the industry of household appliances. Virtual prototyping techniques are widespread in design processes and practices, in order to reduce the project development lead-time and the cost related to any real physical prototyping. The aim of this paper is the study of a generic modular approach to support the optimization process of simple mechanical parts, using virtual prototyping tools and a multi-DOE solving analysis based on virtual experiments. The target is to increase flexibility in design phases. The research context regards the optimization of a blower for cooker hood applications, in order to improve the fluid dynamic efficacy indicator in accordance with EU Ecodesign directive regarding ventilation fans. The increasing of fluid dynamic efficiency is a way to reduce electrical energy consumption during blower operation. Particularly, this paper focuses on the design optimization of an impeller for kitchen hood. The research-work takes into account the optimization of the blade profile. Inlet and outlet fluid-blade angles have been analyzed and discussed. The methodology proposes the study of a set of geometrical parameters through an analysis based on DOE scheduling with virtual experiments. The proposed test case provides a study of two different fan wheel models for the same hood application. Three geometrical parameters have been considered. The DOE objective function fits the maximization of the fluid dynamic efficiency indicator, in order to reduce energy consumptions. A multi-DOE approach has been used to evaluate the best configuration set. Several CFD simulations have been conducted and the resultant impeller configuration has been also validated through physical tests.

The present work investigates the economic feasibility of ecological vehicles. The comparison has been developed between traditional vehicles, gasoline and diesel fueled, and green vehicles powered by electric, hybrid or natural gas motors. Nowadays, the vehicle life cycle cost is an important decision criterion used by consumer to buy a car, due to fuel price increasing. Life cycle cost includes purchase cost, operation cost, but also social cost lead to environmental impact regarding production, use and end-of-life phases. The proposed research focuses life cycle cost from consumer side in order to evaluate the economic feasibility, using ecological solutions for transportation in EU. Different use scenarios are proposed, considering different vehicle sizes and mileages, without considering taxes and any governance incentives. © 2014 IEEE.