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Customized static orthoses in rehabilitation clinics often cause side effects, such as discomfort and skin damage due to excessive local contact pressure. Currently, clinicians adjust orthoses to reduce high contact pressure based on subjective feedback from patients. However, the adjustment is inefficient and prone to variability due to the unknown contact pressure distribution as well as differences in discomfort due to pressure across patients. This paper proposed a new method to predict a threshold of contact pressure (pressure limit) associated with moderate discomfort at each critical spot under hand orthoses. A new pressure sensor skin with 13 sensing units was configured from FEA results of pressure distribution simulated with hand geometry data of six healthy participants. It was used to measure contact pressure under two types of customized orthoses for 40 patients with bone fractures. Their subjective perception of discomfort was also measured using a 6 scores discomfort scale. Based on these data, five critical spots were identified that correspond to high discomfort scores (>1) or high pressure magnitudes (>0.024 MPa). An artificial neural network was trained to predict contact pressure at each critical spot with orthosis type, gender, height, weight, discomfort scores and pressure measurements as input variables. The neural networks show satisfactory prediction accuracy with ${R}^{{2}}$ values over 0.81 of regression between network outputs and measurements. This new method predicts a set of pressure limits at critical locations under the orthosis that the clinicians can use to make orthosis adjustment decisions.

Distributed teams are an increasingly common feature of engineering design work. One key factor in the success of these teams is the development of short- and longer-term shared understanding. A lack of shared understanding has been recognized as a significant challenge, particularly in the context of globally distributed engineering activities. A major antecedent for shared understanding is question asking and feedback. Building on question-asking theory this work uses a quasi-experimental study to test the impact of questioning support on homogeneous and heterogeneous teams. The results show significant improvement in shared understanding for both team types (27% improvement for heterogeneous and 16% for homogeneous), as well as substantial differences in how this improvement is perceived. This extends theoretical insight on the development of shared understanding and contributes one of few empirical studies directly comparing homogeneous and heterogeneous teams in the engineering design context. This has implications for how distributed teams can be more effectively supported in practice, as well as how shared understanding can be facilitated in engineering design.

Designers at the conceptual phase of products such as headphones, stress the importance of comfort, e.g. executing comfort studies and the need for a reliable user panel. This paper proposes a methodology to issue a reliable user panel to represent large populations and validates the proposed framework to predict comfort factors, such as physical fit. Data of 200 heads was analyzed by forming clusters, 9 archetypal people were identified out of a 200 people's ear database. The archetypes were validated by comparing the archetypes' responses on physical fit against those of 20 participants interacting with 6 headsets. This paper suggests a new method of selecting representative user samples for prototype testing compared to costly and time consuming methods which relied on the analysis of human geometry of large populations.

Research in emotional design and Kansei Engineering has shown that aesthetics play a significant role in the appeal of a product. This paper contributes to establishing a methodology to identify the relationships between perceptions, aesthetic features, desire to own and background of consumers. Surveys were conducted with 71 participants to gather their perceptions of 11 vase concepts. Advanced statistical analyses, including mixed models, were applied to allow generalisation of the results beyond the data sample. Significant relations between the desire to own a product and how the product is perceived were found (the desire to own was found to be related to beautiful, expensive, elegant, exciting, feminine, common and dynamic vases), as well as between the perceptions and the parameters describing the form of the vases (a vase was perceived as beautiful if it had many curved lines and was simple and tall). An automated mixed model analysis was conducted and revealed that general rules can be found between aesthetic features, perceptions and ownership, which can apply across gender and culture. The findings include design rules that link aesthetic features with perceptions. These contribute to research as guidelines for design synthesis and can either be implemented via shape grammars or parametric modelling approaches. These rules are also interesting for 3D printing applications, especially important when the consumer is the designer. Some of these design rules are linked to the desire to own a product, they have implications for industry, and they offer guidelines to creating attractive products that people want to own.

PurposeCompanies are increasingly engaged with global engineering networks through offshoring of product development activities from R&D to production. This creates many new challenges as operations get physically and culturally decoupled. The purpose of this paper is to improve understanding of how to effectively manage engineering offshoring activities in a context of global engineering networks. The main research question, therefore, is: “Can offshoring of engineering tasks be explained and managed using the concept of Global Engineering Networks (GEN)?” Effective approaches to handling the associated risks of engineering offshoring will be a key area of the investigation.Design/methodology/approachThe research approach is based on the engineering design research methodology developed by Blessing and Chakrabarti, including a descriptive phase and a prescriptive phase. Four case studies of large multinational corporations in Denmark were carried out. Data gathering was mainly documentary studies and interviews. The main data analysis approaches were coding (Strauss and Corbin) and pattern‐matching (Yin). The dataset was analysed using the GEN framework suggested by Zhang et al. and Zhang and Gregory.FindingsEngineering offshoring presents companies with challenges related to communication and knowledge sharing which is addressed through formal and informal mechanisms as well as a more streamlined operation. However, this did not remove the challenges. The GEN framework suggests a systematic approach to understanding global engineering networks through investigating their contextual features, critical capabilities to compete in a particular contextual circumstance, and configuration characteristics to deliver the capabilities. Using the GEN framework, the challenges faced by companies and the risks associated with their engineering offshoring activities can be explained as a mismatch between the required capabilities and the companies' ability to deliver these capabilities.Originality/valueThis paper provides new theoretical insight into both engineering offshoring and GEN theories by extending the GEN framework to address complications within engineering offshoring. This strengthens both academic fields, and will be able to help engineering managers to develop appropriate engineering network configurations for offshore engineering operations.

This paper focuses upon investigating the characteristics of engineering changes and identifying the main reasons for changes arising during the different phases of the lifecycle of complex engineering products. Two case studies representing products with different development processes have been selected and change documentation analysed. The two cases selected were: (1) a variant design product, an aeroengine and (2) a customised product, drilling equipment for the oil industry. The change requests were analysed to understand their distribution and motivation across the lifecycle of the two products. The findings show that change requests peak during the manufacturing phase and indicate that the motivation for change varies throughout a product's lifecycle. The results provide insights into the factors to be considered during the development process in order to reduce the number of change requests from the later phases of a product's lifecycle and to support designers to efficiently address the unavoida...

This paper aims to investigate the knowledge generated during the later phases of the life cycle of a complex customised product and understand how this knowledge is transferred between projects and between different user groups. A series of four identical rigs for offshore drilling was selected as a case study, and the transfer of knowledge between the first two rigs was explored through two sets of interviews with the rig operators and the project management team. The expected knowledge transfer strategies that emerged from the first set of interviews were analysed and compared with the actual transfer mechanisms identified in the second set of interviews, and similarities and differences were investigated. It was found that the transfer of knowledge primarily occurred within the individual phases of the product’s life cycle, and there was poor transfer across the different phases.

This paper describes the findings from an empirical study carried out with engineers in senior roles within a large company manufacturing complex products. This research aimed to identify the types of knowledge that are important for design engineers. Twenty four knowledge categories were identified and the importance of these for design engineers in industry was investigated. In addition, the number of years of relevant experience required to become an expert in these types of knowledge was investigated. Knowledge related to the process was perceived as more important to those related to the product. However, the number of years to become an expert in process knowledge was found to be lower than for product knowledge, despite process knowledge being perceived as more important. The findings of this research contribute to the education and training of design engineers.

Tools to aid designers achieve specific perceptions through the aesthetics of their products are needed in order to compete and stand out in the current consumer society. This research aims to develop a spatial grammar to include perceptions. This is conducted through a case study where rules from previous research are used to guide the spatial grammar development and generation of solutions. Results show that it is possible to develop a spatial grammar to design for perception rules extracted from consumers using Semantic Differential (SD) scales and advanced statistics. These elements combined can generate a tool that provides designers with many new aesthetically pleasing solutions. The Spapper module within the FreeCAD software is used for the implementation. Initial work examines only two perception rules (simplicity and tall), and shows the need for the third (curves) to obtain the expected results. Future work should focus on expanding the shapes available for generation (i.e. 3D primitives) to include spheres, ellipsoids, tori, revolved profiles and sweeps, which could increase the number of valid solutions.

This paper describes a methodology for developing ontologies for engineering design. The methodology combines a number of methods from social science and computer science, together with taxonomies developed in the field of engineering design. A case study is used throughout the paper focusing upon the use of an ontology for searching, indexing and retrieving of engineering knowledge. An ontology for indexing design knowledge can assist the users to formulate their queries when searching for engineering design knowledge. The root concepts of the ontology were elicited from engineering designers during an empirical research study. These formed individual taxonomies within the ontology and were validated through indexing a set of ninety-two documents. Relationships between concepts are extracted as the ontology is populated with instances. The identified root concepts were found to be complete and sufficient for the purpose of indexing. A thesaurus and an automatic classification are being developed as a result of this evaluation. The methodology employed during the test case is presented in this paper. There are six separate stages, which are presented together with the research methods employed for each stage and the evaluation of each stage. The main contribution of this research is the development of a methodology to allow researchers and industry to create ontologies for their particular purpose and to develop a thesaurus for the terms within the ontology. The methodology is based upon empirical research and hence, focuses upon understanding a user’s domain models as opposed to extracting an ontology from documentation.Copyright © 2005 by ASME

The long-term aim of this research is to develop a method to index design knowledge that is intuitive to an engineering designer and therefore encourage the reuse of information. Eighteen interviews were carried out to understand how designers described the process of designing a particular component or assembly. The analysis led to the development of a method of indexing design knowledge, which has been evaluated in two stages: (1) evaluation of individual taxonomies within the method; and (2) indexing of 92 reports using the method. The research contributes to the development of an ontology for engineering design.

This paper describes a study into industry perceptions of barriers and drivers for inclusive design. The study investigated perceptions of manufacturers and retailers of consumer products in the United Kingdom (UK) and compared their perceptions with those of companies in the United States (US) and Japan. It was found that the perceptions of major drivers for inclusive design were similar for manufacturers and retailers in the UK, but the perceptions of barriers to inclusive design differed between manufacturers and retailers. Industry attitudes towards legislation or government regulations in the UK differed from those in the US and Japan. The study concluded that ‘perception barriers' form the majority of the barriers and were the most significant, followed by ‘technical barriers’ and then ‘organizational barriers'. Consequently, strategies should focus on raising awareness to overcome perception barriers and providing supportive tools to overcome technical barriers.

A long-term research project is being undertaken to understand how to support engineering designers through the provision of appropriate knowledge during the design process. Empirical research already carried out within the aerospace industry found that novice designers were aware of their knowledge needs in only 35% of their queries. In addition, observations of experienced and novice designers identified design strategies employed by experienced designers. The aim of this research was to develop and evaluate a method of support for designers based upon these findings. This paper describes the development of the method and its preliminary evaluation within the aerospace industry. The evaluation indicated that the method was able to reduce the number of inappropriate questions asked by novice designers.

The long-term aim of this research is to understand how to support designers through the provision of appropriate knowledge. This paper describes an empirical study that analysed the interactions between novice and experienced engineering designers in the aerospace industry. In total, 633 queries between novice and experienced designers were analysed. The analysis of the queries found that novice designers were aware of their knowledge needs in only 35% of their queries. The findings have implications for the type of support required by novice designers.

Observational studies of engineering design activities can inform the research community on the problem solving models that are employed by professional engineers. Design is defined as an ill-defined problem which includes both engineering design and software design, hence understanding problem solving models from other design domains is of interest to the engineering design community. For this paper an observational study of two software design sessions performed for the workshop on “Studying professional Software Design” is compared to analysis from engineering design. These findings provide useful insights of how software designers move from a problem domain to a solution domain and the commonalities between software designers’ and engineering designers’ design activities. The software designers were found to move quickly to a detailed design phase, employ co-evolution and adopt a predominantly depth-first approach to developing their solutions. A mapping between the activities of engineering design onto the activities of a general model of software design is also presented. A discussion about the potential consequences of the key findings across the design domains is described.Copyright © 2012 by ASME

The aesthetics of a product influences the decisions made by consumers when purchasing products. Research has shown that designers are not always successful in creating a product with the desired perception amongst its users. Hence methods and tools which can support the designer in predicting how the aesthetics of their products are likely to be perceived are of value. In this paper the authors propose an approach to formalize the relationship between geometric information of a 3D object and the intended emotion using fuzzy logic. 3D objects (shapes) created by design engineering students to evoke a certain perception were analysed. Three different fuzzy logic models, with different input variables, for evaluating massiveness and lightness in a form are proposed. The authors identified geometric information as inputs of the fuzzy model and developed a set of fuzzy if/then rules to map the relationships between the fuzzy sets on each input premise and the output premise. In our case the output premise of the fuzzy logic model is the level of belonging to the design context (emotion). An evaluation of how users perceived the shapes was conducted to validate the fuzzy logic models and showed a high correlation between the fuzzy logic model and user perception. The models show the possibility of creating tools to support designers with forms to evoke the desired perceptions amongst consumers.Copyright © 2009 by ASME

It is widely recognized, both in industry and academia, that clear strategies in knowledge transfer positively influence the success of a firm. A firm should support the transfer of knowledge by standardizing communication channels within and across departments, based upon personalization, codification or a combination of these two strategies. The characteristics of the business influence the choice of communication channels used for knowledge transfer. This paper presents a case study exploring the transfer of knowledge within and across projects, specifically the transfer of service knowledge in the case of complex machinery. The strategies used for knowledge transfer were analysed and compared with the expected transfer mechanisms, similarities and differences were investigated and are described. A family of four identical rigs for offshore drilling was the selected case. The transfer of experience across the rigs during the commissioning phase of the first and the second rigs of the series was explored through interviews with the operators and the project management team. Differences between the expected knowledge transfer strategy, focused upon the moving of rig personnel and reusing of lessons learnt from one rig to the next, and the actual situation emerged. Various approaches for transferring knowledge were elicited and analysed with regard to the types of knowledge that were transferred and the context in which they were used. This study indicates factors that should be considered whilst designing a knowledge management system to support the systematic reuse of service knowledge.Copyright © 2009 by ASME

When developing procedures such as tools, methods and frameworks to support the development of new products, one of the challenges is ensuring their successful implementation. This paper describes a study of the development and use of such design-procedures with primary focus on the new product development process-model, its supporting methods and handling of knowledge. Semi-structured interviews with 20 participants have been carried out to understand the use of procedures. All the interviews were conducted in a company, which develops large complex equipment for oil rigs. The findings suggest that a complex understanding of procedures and reasons for divergence needs to be adopted, where implicit as well as explicit procedures are recognised and managed. Three distinct types of implicit procedures were uncovered through the study: 1) historical implicit procedures; 2) social interpretations of explicit procedures and; 3) implicit procedures supporting needs that are not catered for by the explicit procedures. In this understanding, a procedure can be any kind of method, tool or framework used to support design engineers. Furthermore, the study discusses a variety of recommended actions, depending on the type of procedure and the reason for non-conformance. Recommendations for corrective actions are proposed and feedback from managers directly involved in developing and applying the procedures are collected, to evaluate them.

This paper focuses upon understanding the characteristics of engineering changes, in particular changes that emerge during the service phase of complex products, and on how these changes can be related to the product development process. For this purpose, a set of engineering change reports from an aerospace engine has been analyzed and the findings have been compared with change documentation from drilling machinery for the oil industry. These findings give insights into which phases of the design process should be modified in order to reduce the number of change requests from the service phase and to enable designers to efficiently answer the unavoidable change requests. This can be used to improve the product development process in order to take into account the factors leading to changes.Copyright © 2008 by ASME

The industrial world is changing rapidly and engineering organisations need to adapt fast to remain in business. Some of the pressures faced by engineering managers include: (1) the trend towards globalisation and the reliance on IT; (2) the increasing commercial pressures which demand continual improvements in quality, shorter lead times and reduced costs; (3) the increasing complexity of both products and processes; (4) the problems of retaining and retrieving knowledge and experience; and (5) the need to move towards sustainable development.

Users react to products without knowing the intended Kansei integrated into them by the designer. Human beings are equipped with variable preference mechanism. It is argued that human attributes result from three different levels of brain mechanism: the visceral; the behavioural; and the reflective levels. This paper focuses upon the visceral level through the building of a link between geometric properties of non-functional 3D forms and the human perception of these by users. This link is created using a genetic algorithm combined with a fuzzy logic decision support system. Human evaluations of the non-functional 3D shapes against two contrary perception adjectives (massive and light) are used as the learning data set for the genetic algorithm. Eight fuzzy models were developed using different sets of quantitative geometric properties as inputs resulting into different sets of fuzzy design rules. Correlations as high as 99%, between fuzzy and human perception, were obtained.

Increasingly engineering design research involves the use of empirical studies that are conducted within an industrial environment (Ahmed, 2001; Court, 1995; Hales, 1987). Research into the use of information by designers, or understanding how engineers build up experience are examples of research areas that often use methods such as interviews, observations and protocol analyses. These methods are traditionally associated with the social sciences, and usually with experiments set within a laboratory environment. The use of such methods in an industrial environment has created a new set of research issues. This paper describes empirical research methods employed in industry case studies focusing upon information, knowledge and experience in engineering design. The paper describes the methods, their suitability for the particular research aims, and the advantages and disadvantages of the methods, and describes two case studies in detail. The paper draws conclusions from the studies reviewed of the use of empirical research methods in industry.