Search

Innovative design of complex systems faces multi-contradiction (MC). The existing methods to solve MC are mainly based on the General Theory of Powerful Thinking (OTSM) which is independent of the classical Engineering Design Method (ED) to form the process model, they cannot inherit the accumulated knowledge and advantages of ED. This paper proposes a product innovation design process model for MC based on the function-structure model. It starts with an initial scenario of the system to build the function-structure model and MC network based on the root contradiction analysis. The network structure entropy and function importance decision methods are introduced for the trimming target confirming. The key contradiction-node is identified and solved by strategies of trimming based on internal and external resources of the system. The function-structure model in ED and trimming in TRIZ are combined to form an innovative design process for MC systems. The proposed method is evaluated in a case study of an innovative design of the girder bridge erector. [ABSTRACT FROM AUTHOR]

This paper explores the artificial intelligence (AI) concept for complex engineering design processes in the shipping industry. It is driven by the computer technologies advancement for fast and concurrent tasks processing, machine learnability, and data-centric approach. While AI has been adopted in many industries, it is still lacking the structured approaches for practical implementation. This is especially on the generality of the methodologies and explaining AI to the non-technical members and their preparedness. Therefore, this work proposed a conceptual framework to systematically extract, represent and visualize the ship design knowledge, to develop and deploy the machine learning (ML) models, and to demonstrate the AI-based ship design processes. Comparisons to the generic ship design model were made and discussed to highlight the improvements observed. It is found that while the conventional algorithmic approach procedures were faster in terms of execution time, the stepwise empirical models were often limited by the dataset and the design assumptions with restricted estimation capabilities for solving the nonlinear ship design problems. The findings presented the impact in improving the existing processes and effectively reducing its cycle. Additionally, the approach emphasised on the validated ship design data thus its generalization for fast and wide adoptions at scales. [ABSTRACT FROM AUTHOR]

The Garden in Motion is a concept that was developed by Gilles Clément in the early 1980s as the result of the experimentation conducted in his garden-house, La Vallée. Clément’s interest in promoting this garden archetype based on managing neglected land led him to write a number of works in order to explain the conceptual underpinnings of his model, with the ultimate aim of having them published. From the writing of the first manuscripts, dating from 1984, to the first edition of “Le jardin en movement” in 1991, he produced a series of different documents that would form the basis of the text that was finally published. It was a long process in which Clément not only had to fully develop his ideas but also to overcome the difficulties involved in finding a company to publish what he called his ‘petit livre’. The aim of this article is to show the creative process behind Clément’s book and its relationship with the creative process of building his garden, while endeavouring to reply to the question of whether it is possible to establish an equivalence between both processes. This is made possible through the analysis of documents kept by Clément in his personal archive, some of which have never been published.

This document is a summary of a special issue in the journal Applied Sciences titled "Feature Review Papers in Mechanical Engineering." The issue covers various topics in mechanical engineering, including crank-slide actuating mechanisms, industrial robots, cellular manufacturing systems, shape memory alloys, and the application of Constructal theory. The articles explore the advancements, challenges, and potential solutions in these areas, aiming to enhance efficiency, adaptability, sustainability, and control in mechanical systems. The research presented in this special issue offers valuable insights and directions for further study in the field of mechanical engineering. [Extracted from the article]

The existence of Gardu Toll Otomatis (GTO), automatic toll payment, becomes a general model for every toll payment in Indonesia. Almost toll payment models in Indonesia have a paper printout as received which is often wasted. This condition happens since not all the driver needs a paper proof of the transaction. Therefore, the wasted paper will occur everywhere for 24 h. Furthermore, in this work the design of printout system using a more efficient printout model with rotation feeding method has developed printout system. In this work, the rotation mechanism system is applied through product design engineering through Industry 4.0. This system is made by removing the printout paper that remains present to the driver who needs it, but not wasted because of the driver who does not need it. There are three important steps as follows; in the first step, the printout paper appears in a special tray which is easy to reach and takes for those who need it. In the second step, the paper will remain in the tray for the driver who did not pick it up and final step, the tray with paper printout will rotate mechanically back into the GTO machine to be destroyed by a paper shredder. The experiment of the paper printout system has been carried out. The results show that the proposed approach produces a better accuracy and efficiency. Experimental results show the testing accuracy of 90%. The system confirms the effectiveness of the proposed paper printout system for the GTO. [ABSTRACT FROM AUTHOR]

Lluny d'emprar el terme transmèdia com un simple adjectiu que pot qualificar a certs substantius, actualment es pot considerar la transmedialitat com una veritable manera d'executar projectes abordant la complexitat de l'escenari mediàtic contemporani. L'objectiu d'aquest treball és definir la disciplina de Disseny Transmèdia mitjançant la descripció de les activitats de projecte i d'investigació desenvolupades en el Politècnic de Milà, amb especial atenció al projecte Plug Social TV. Plug Social TV és un projecte posat en marxa el 2013 en dos barris perifèrics de la ciutat de Milà amb la participació dels estudiants del curs de Disseny de Comunicació, dirigits per l'equip d'investigació Imagis Lab. L'objectiu principal del projecte és experimentar els processos i els instruments de comunicació que, a través de la construcció de mons narratius i la seva distribució estratègica i multicanal (analògica i digital), poden suportar la formació d'un diàleg entre els interessats presents en el territori.

Engineered solutions are becoming more complex and multi‐disciplinary in nature. This evolution requires new techniques to enhance design and analysis tasks that incorporate data integration and interoperability across various engineering tool suites spanning multiple domains at different abstraction levels. Semantic web technologies (SWT) offer data integration and interoperability benefits as well as other opportunities to enhance reasoning across knowledge represented in multiple disparate models. This paper introduces the digital engineering framework for integration and interoperability (DEFII) for incorporating SWT into engineering design and analysis tasks. The framework includes three notional interfaces for interacting with ontology‐aligned data. It also introduces a novel model interface specification diagram (MISD) that provides a tool‐agnostic model representation enabled by SWT that exposes data stored for use by external users through standards‐based interfaces. Use of the framework results in a tool‐agnostic authoritative source of truth spanning the entire project, system, or mission. [ABSTRACT FROM AUTHOR]

Tot producte està pensat perquè es vengui a nombrosos consumidors potencials; per això, les responsabilitats associades a aquest procés són grans. Els compromisos mediambientals, socials i ètics dels dissenyadors industrials estan establint principis universals en un esforç comú per fomentar una societat sostenible i més harmoniosa.

The article discusses ways to teach engineering fundamentals with simple materials. Topics discussed include tips and tricks to use paper effectively to teach engineering principles to children, thousands of STEM/STEAM challenges available in books and online and working of Marina Bernasuli, Technology Coordinator at the Browning School, by using engineering with paper projects throughout the 2020-21 school year.

En aquest món en constant evolució, els objectes "intel.ligents" (amb tecnologia incrustada) han envaït la nostra vida quotidiana. Aquestes superfícies intel.ligents que emeten llum poden crear ambients o assistents de navegació de l'espai interior, a la vegada que ofereixen als dissenyadors opcions d'il.luminació sostenibles i flexibles. Quin efecte té la interacció amb aquestes superfícies il.luminades en l'experiència personal que es té dels ambients interiors?.

Paper-based analytical devices (PADs) are very popular for point-of-care diagnostics, which provide a fast, cost-effective and possible multiplexed detection of a spectrum of molecules. They have been matching forward proudly to contribute to the modern analytical science and life science. Accompanying with their advantages and huge potentials, low detection sensitivity is continuing to challenge the application of PADs from bench to bedside. In order to improve the sensitivity and enhance the signal readout, variable signal amplification strategies have been investigated and applied for PADs. In this review, we have firstly classified formats of PADs according to the engineering design. Advances for improving sensitivity of PADs in recent five years are then summarised according to three popular types of signal amplification strategies (nanomaterial based, nucleic acid based, and engineering of PADs based). Pros and cons of each signal amplification approach have been discussed accordingly. Finally, the future perspectives of PADs are proposed. • Advances on signal amplification strategies to enhance sensitivity of paper based analytical devices (PADs) are outlined. • Three signal amplification strategies (nanomaterial, nucleic acid, and engineering of PADs based) are discussed. • The pros and cons of different signal amplification strategies are compared. • Future perspectives for signal amplification on PADs are proposed. [ABSTRACT FROM AUTHOR]

By far most PDA clients like to scrutinize the news through internet-based media over the web. The news locales are dispersing the data and giving the wellspring of approval. The request is the method for approving the news and articles which are flowed among online media like WhatsApp social occasions, Facebook Pages, Twitter, and other smaller than expected web diaries and relational connection areas. It is harmful for the overall population to acknowledge the pieces of tattle and claim to be data. The need for an hour is to stop the stories, especially in the arising countries like India, and focus on the right, checked reports. This paper shows a model and the methodology for fake news areas. With the help of Machine learning and standard language taking care of, it is endeavored to add up to the news and later choose if the news is certified or fake using Different Algorithms. The eventual outcomes of the proposed model are differentiated and existing models. The proposed model is working honorably and portraying the rightness of results up to extremely fine accuracy. [ABSTRACT FROM AUTHOR]

Digital transformation – the pervasive incorporation of digital technology into virtually every process and system – is arguably the greatest force of change within the naval engineering community. Digital innovation is disrupting traditional ship design paradigms and giving rise to new ways of modernising and sustaining a future integrated force structure. This paper highlights digital transformation as a core strategic initiative that is aligned with the U.S. Department of Defense Digital Engineering Strategy. Recognising the need to expand the U.S. Navy's advantage over its competitors, this paper identifies foundational elements required to transform current engineering design and development processes. Next, a multi-factor framework is introduced to align traditional processes employed for physical system design and development with a new digital paradigm in recognition of the highly integrated nature of Model Based Systems Engineering (MBSE). Finally, discussion will focus on efforts underway to leverage advanced computational models and highlight the digital engineering use case for Naval Power and Energy Systems (NPES). [ABSTRACT FROM AUTHOR]

[Display omitted] • Robust probe is designed by engineering biomimic MOFs with specific pockets. • The probe gives "key-lock" identification and sensitive quantitative information. • Innovatively integrating the probe with filter paper could avoid ring-like deposit. • The well-distributed interface is harvested to reduce colorimetric signal fluctuation. • Self-adaptive signal model allows for monitoring pesticide in colored matrices. Excessive residual pesticides have raised overall environmental damage and health hazard issues, thus the development of facile and sensitive means for pesticide monitoring in different environmental field is desperately needed but challenging. In this work, a flexible paper-based colorimetry beating coffee-ring effect is achieved toward sensing environmental pesticide exposure in user-friendly mode. First, to circumvent poor performance of biomolecules, robust probe is designed by imprinting metal-organic frameworks (MOFs) with specific pockets, enabling to provide "key-lock" identification and sensitive quantitative information under harsh environment. Innovatively, integrating the MOF-mediated probe with filter paper, a well-distributed sensing interface is harvested to reduce colorimetric signal fluctuation for reliable detection properties, which is ascribed to superior wetting behavior of filter paper for avoiding ring-like deposit formation. Additionally, the uniform profile is simulated by Fluent numerical software. Further exploiting smartphone-assisted image acquisition and self-adaptive signal model, the simple-to-perform system exhibits good accuracy toward ppb-level thiacloprid free of colored background interference. A low limit of detection of 0.04 μM thiacloprid (corresponding to 0.01 μg g−1 by weight) is achieved. Moreover, it allows for in-filed monitoring thiacloprid exposure in agricultural wastewater, soil, fresh vegetables with satisfactory recoveries ranging from 92.7 % to 109.0 %, verifying the broad potential applications for point-of-use tracking of environmental pesticide and eventually bringing benefits to ecosystem protection in resource-deficient settings. [ABSTRACT FROM AUTHOR]

Origami is the art of creating a three-dimensional (3D) shape by folding paper. It has drawn much attention from researchers, and the designs that origami has inspired are used in various engineering applications. Most of these designs are based on familiar origami patterns and their known deformations, but origami patterns were originally intended for materials of near-zero thickness, primarily paper. To use the designs in engineering applications, it is necessary to simulate origami in a way that enables designers to explore and understand the designs while taking the thickness of the material to be folded into account. Because origami is primarily a problem in geometric design, this paper develops a geometric simulation for thick origami. The actuation, constraints, and assignment of mountain and valley folds in origami are also incorporated into the geometric formulation. The experimental results show that the proposed method is efficient and accurate. The method can successfully simulate a flat-foldable degree-four vertex, two different action origami, the bistable property of a waterbomb base, and the elasticity of non-rigid origami panels. [ABSTRACT FROM AUTHOR]

The author discusses focus of K-12 teacher to implement STEM into their curriculum and that the STEM activities can help teachers set an engineering tone for their classrooms and mentions paper-rocket activity which is engaging STEM project. Topics discussed include how students test and evaluate their rocket designs, engineering design process (EDP) taught by paper-rocket activity by engaging students and wide variety of paperrocket launcher designs..

This study is the first step of a research program organized to contribute to the dream of using recycled paper as a structural element for sustainable design in Civil Engineering. One of the important tasks is to understand the behavior of connections in paper materials. This study presents the results of experimental research carried out to investigate the behavior of paperboard laminate connections consisting of a single bolt in double shear. A simple and effective method to predict the bearing strength in bolted connection for paperboard laminates has been proposed. A total of 96 bolted connections were fabricated from paperboards oriented in both machine and cross direction. The effect of end distance and edge distance of bolt hole are investigated to address the limiting value for both variables. It was found that the failure is governed by both shear and bearing stresses developed around the hole. Finally, a straightforward design equation has been proposed for such connections. • Single bolt connections can be implemented on paperboard laminates. • Minimum end distance, and edge distance values should be 1.5 times the hole diameter. • Mixed-mode failure which is the combination of shear and bearing mode will govern. • Equation with max. radial compressive stress can be used conservatively for design. [ABSTRACT FROM AUTHOR]

This Special Issue on "Selected Papers from IEEE ICASI 2018" includes excellent papers presented at the IEEE ICASI 2018 regarding the "applied system innovation" topic. Mechanical engineering and design innovations are both academic and practical engineering fields, which involve systematic technological materialization through scientific principles and engineering designs. Technological innovations in mechanical engineering include IT-based intelligent mechanical systems, mechanics and design innovations, and applied materials in nanosciences and nanotechnology. The aim is to encourage the attendees at the IEEE ICASI 2018 to publish their experimental and theoretical research relating to applied system innovation. [ABSTRACT FROM AUTHOR]

Origami/kirigami, the ancient art of paper folding and cutting techniques, has provided considerable inspiration for structural design routes in the engineering and medical fields over the last few decades. The practicability of the methods and concepts of origami/kirigami has been demonstrated in several emerging classes of technologies, e.g., stretchable electronics, deformable devices, self‐assembly fabrication, etc. More and more related products are produced pursuing a folding form for better storage, deformation capacity, and multifunction realization. Herein, the innovative creased patterns of origami/kirigami designs are distinguished and discussed, and the four most widely used creased pattern types are introduced, which may potentially provide origami/kirigami related inspiration and additional solutions toward many research fields. [ABSTRACT FROM AUTHOR]

Digital twin technology assists physical entities better to achieve functional perfection through the interactive cointegration of physical entities and virtual spaces. In this view, this paper proposes a digital twin inspired intelligent diagnosis method for bearing faults based on adaptive correlation filtering and an improved stack autoencoder (SAE) classification model. First, the adaptive correlation filtering algorithm is designed to filter the engineering signal in physical space, in which the noise-free ideal bearing fault signal spectrum in the virtual space is used as the comparison. In this filtering, the optimal cut-off frequency is determined adaptively with the condition that the similarity between the simulated spectrum and the engineering spectrum is maximized. Second, the Tan activation function is used in the SAE classification model to enhance the signal differentiation and avoid the problem of large computation of the traditional sigmoid function. Finally, the accuracy of the method in this study is verified on the basis of engineering experiments and Case Western Reserve University bearing fault dataset. Experimental results show that the method can achieve 100% correct diagnosis rate of bearing faults. [ABSTRACT FROM AUTHOR]

This document discusses the development of digital twin (DT) technologies and their application in the field of vehicle system dynamics. It explains that digital twin technologies are closely related to concepts such as Industry 4.0, IoT, and Big Data, and have become increasingly important in engineering tasks such as design optimization and predictive maintenance. The document emphasizes the need to understand the transition from virtual prototyping to digital twin methodologies, as well as the combination of vehicle dynamics modeling and data-based approaches in vehicle engineering applications. It also highlights that more research is needed in this area to improve the system architecture and developmental framework of digital twin techniques. The document concludes by inviting researchers to contribute further innovations and research papers on digital twins in Vehicle System Dynamics. [Extracted from the article]

This review shows the recent advances and state of the art in paper-based analytical devices (PADs) through the analysis of their integration with microfluidics and LOC micro- and nanotechnologies, electrochemical/optical detection and electronic devices as the convergence of various knowledge areas. The important role of the paper design/architecture in the improvement of the performance of sensor devices is discussed. The discussion is fundamentally based on μPADs as the new generation of paper-based (bio)sensors. Data about the scientific publication ranking of PADs, illustrating their increase as an experimental research topic in the past years, are supplied. In addition, an analysis of the simultaneous evolution of PADs in academic lab research and industrial commercialization highlighting the parallelism of the technological transfer from academia to industry is displayed. A general overview of the market behaviour, the leading industries in the sector and their commercialized devices is given. Finally, personal opinions of the authors about future perspectives and tendencies in the design and fabrication technology of PADs are disclosed. [ABSTRACT FROM AUTHOR]

The accurate characterization of typhoon wind profile properties is of great importance in the field of wind engineering and wind design of high-rise structures. In this paper, the average typhoon wind profile characteristics are investigated using the 930 m height measurement data of Typhoon Lekima 2019 obtained from the observations of the mobile acoustic profiling radar deployed in the coastal area. Specifically, this paper adopts a cohesive hierarchical cluster analysis method to classify the mean wind profiles of Super Typhoon Lekima 2019, and the optimal number of clusters is obtained as two classes by the profile coefficient with the sum of squares of clustering errors, the Calinski–Harabasz index, and the Davies–Bouldin index, and the two classes of typical wind profiles are named as cluster 1 type and cluster 2 type. The model fitting analysis of the two types of typical wind profiles was carried out in the height range of 0~300 m after classification, and the effects of fitting the cluster 1-type mean wind profiles with the Vickery model and the Snaiki and Wu model and the cluster 2-type mean wind profiles with the Power-law model, the Log-law model, and the Deaves–Harris and Gryning models were discussed. The results show that the cohesive hierarchical cluster analysis method used in this paper can effectively categorize the mean typhoon profiles. In addition, this paper has some reference significance for future research on the characteristics of measured typhoon wind profiles and engineering applications such as the wind-resistant design of high-rise structures. [ABSTRACT FROM AUTHOR]

With the rapid advancement of digital technology, three-dimensional designs of Grid Information Models (GIMs) are increasingly applied in the power industry. Addressing the challenges of extracting key parameters during the GIM's process for power grid equipment, this paper explores an innovative approach that integrates artificial intelligence with image recognition technologies into power design engineering. The traditional methods of "template matching, feature extraction and classification, and symbol recognition" have enabled the automated processing of electrical grid equipment engineering drawings, allowing for the extraction of key information related to grid equipment. However, these methods still rely on manually designed and selected feature regions, which limits their potential for achieving full automation. This study introduces an optimized algorithm that combines enhanced Convolutional Neural Networks (CNNs) with Depth-First Search (DFS) strategies, and is specifically designed for the automated extraction of crucial GIM parameters from power grid equipment. Implemented on the design schematics of power engineering projects, this algorithm utilizes an improved CNN to precisely identify component symbols on schematics, and continues to extract text data associated with these symbols. Utilizing a scene text detector, the text data are matched with corresponding component symbols. Finally, the DFS strategy is applied to identify connections between these component symbols in the diagram, thus facilitating the automatic extraction of key GIM parameters. Experimental results demonstrate that this optimized algorithm can accurately identify basic GIM parameters, providing technical support for the automated extraction of parameters using the GIM. This study's recognition accuracy is 91.31%, while a traditional CNN achieves 71.23% and a Faster R-CNN achieves 89.59%. Compared to existing research, the main innovation of this paper lies in the application of the combined enhanced CNN and DFS strategies for the extraction of GIM parameters in the power industry. This method not only improves the accuracy of parameter extraction but also significantly enhances processing speed, enabling the rapid and effective identification and extraction of critical information in complex power design environments. Moreover, the automated process reduces manual intervention, offering a novel solution in the field of power design. These features make this research broadly applicable and of significant practical value in the construction and maintenance of smart grids. [ABSTRACT FROM AUTHOR]

The recent rise of methods using Artificial Intelligence (AI) and Machine Learning (ML) has led to similar problems. Although the title was relatively narrow, the editorial addressed the general issue of papers that concentrated on the numerical method development without much relation to rock mechanics or rock engineering. [Extracted from the article]

This paper elaborates discourse on Highway Automatic Tollgate (HAT) within logistics and supply chain engineering perspectives. The aforementioned HAT and its implementation are complying with the Product Design Engineering's perspectives within theoretical and industrial implementation through Industry 4.0 in Indonesia. The objective of this paper is to intertwine the theoretical perspectives with industrial implementation. The industrial implementation constitutes the effort to implement paperless system for HAT in order to reduce wasted papers that are necessarily needed by user of this HAT, as transaction proof. The result and discussion of this paper comprise several discussions to be considered. To begin with, the result of this paperless system helps the cleaning service officers to reduce their cleaning duty. Furthermore, the result of this paperless system integrates the concept of industry 4.0 within scope of internet of things (IoT) and internet of everything (IoE). Subsequently, the discussion on this paper refers to the discourse on logistics and supply chain engineering perspectives, to ease the transaction proof involving big data. As a result, it reduces significantly the vehicle traffic and time needed to proceed to transaction in the aforementioned HAT. This paper refers to the research methodology within quantitative approach. As future research, it is indispensable to intertwine both aforementioned theoretical and industrial implementation. Both implementation, as future research, need to be integrated within the Asia Region. [ABSTRACT FROM AUTHOR]

This paper provides a systematic review of the Genetic Algorithm (GA)s proposed to solve planning and scheduling problems in Engineer-To-Order (ETO) contexts. Our review focuses on how the key characteristics of ETO projects affect both the problem studied and the GA algorithmic features. Typical ETO projects consist of one-of-a-kind products with complex structures and uncertain designs. A deep analysis of the papers published between 2000 and 2022 enables identifying 10 main characteristics of ETO projects, six activity types, 10 decision types, eight groups of constraints, and 10 optimisation objectives. Our study shows that none of the reported papers integrates all 10 ETO characteristics. The less studied ETO characteristics are incorporating design and engineering information in the problem definition and the design uncertainty. Our review also identifies 10 recurrent encoding formats and emphasises the most frequently used genetic operators. We observed that most planning and scheduling problems consider objectives and decisions related to product customisation or supply chain configuration yielding multi-objective problems. Most multi-objective GAs use a weighted sum or are based on NSGAII. Diversity maintenance methods, adaptive and parameter tunning mechanisms, or hybridisation with machine learning models are still not used in this context. A systematic review of genetic algorithms dedicated to industrial planning and scheduling Analysis on how the characteristics of ETO projects impact the design of genetic representation and operators Recommendation on approaches employed to reach high-quality solutions [ABSTRACT FROM AUTHOR]

System design and engineering involves making decisions involving multiple stakeholders with diverse and, potentially conflicting, objectives. As more and more data become available with digital engineering, big data, and data science, trade‐off analytics will be an increasing important tool for engineers. We used a structured literature survey with Web of Science key words and bibliographic, categorical, and bibliometric analysis to answer 14 research questions. As our literature survey demonstrates, trade‐off analysis can be found in almost every engineering domain. We provide several insights from the literature survey for educators and practitioners. [ABSTRACT FROM AUTHOR]

Selected papers We classify the eleven papers included in this special section into two categories: (1) metamodeling and model transformations, and (2) domain and application specific MBE. The seven papers included in the category of domain and application specific MBE describe MBE solutions crossing various domains and applications: content management, automotive, avionics, civil engineering, critical software system, robotics. The IEEE/ACM International Conference on Model Driven Engineering Languages and Systems (MODELS) serves as a venue for researchers and practitioners to share recent advances and practices in the area of model-based software and system engineering (MBE including MBSE). [Extracted from the article]

The article reports on the International Symposium on Innovative Materials for Processes in Energy Systems (IMPRES) 2013 that was held during September 4-6, 2013, at Kyushu University in Fukuoka, Japan. The theme of the conference was the application of novel materials in the field of energy systems, with a special focus on multiphase processes in various energy conversion systems. Materials for fuel cells, heat pumps, and various energy conversion/storage devices were discussed.

The conference was organised by European Technology Development (ETD Consulting), chaired by Dr Ahmed Shibli and co-chaired by Dr David Allen. Paper 1-4: B Experiences in the Manufacture of Large MARBN Steel Castings to the UK "IBN1" Specification b S. Roberts Goodwin Group, UK Goodwin Steel Castings have been a mainstay of the UK MARBN development programme over the past decade, and are now actively engaged in pursuing potential business opportunities worldwide. Paper 2-3: B The Development of Electromagnetic (EM) Sensor Technique for Creep Damage Detection and Assessment b J. Wilson I et al. i University of Manchester, UK; ETD, UK: Nippon Steel Technology Corporation, Japan The aim of this work was to establish correlations between "crept" and "aberrant" Grade 91 material and magnetic properties using laboratory measurement systems utilising Barkhausen Noise; which is connected with dislocation density. Paper 1-2: B Development of UK MARBN steel "IBN1" for advanced power plant applications b D. Allen ETD, UK This paper followed on from Prof. Abe's introduction by providing a more practical perspective and summarising the achievements of a decade of UK development of MARBN steel through a sequence of collaborative projects part-funded by Innovate UK. [Extracted from the article]