205 results found
Chen L, Wang P, Dong H, et al., 2019, An artificial intelligence based data-driven approach for design ideation, Journal of Visual Communication and Image Representation, Vol: 61, Pages: 10-22, ISSN: 1047-3203
© 2019 Ideation is a source of innovation and creativity, and is commonly used in early stages of engineering design processes. This paper proposes an integrated approach for enhancing design ideation by applying artificial intelligence and data mining techniques. This approach consists of two models, a semantic ideation network and a visual concepts combination model, which provide inspiration semantically and visually based on computational creativity theory. The semantic ideation network aims to provoke new ideas by mining potential knowledge connections across multiple knowledge domains, and this was achieved by applying “step-forward” and “path-track” algorithms which assist in exploring forward given a concept and in tracking back the paths going from a departure concept through a destination concept. In the visual concepts combination model, a generative adversarial networks model is proposed for generating images which synthesize two distinct concepts. An implementation of these two models was developed and tested in a design case study, which indicated that the proposed approach is able to not only generate a variety of cross-domain concept associations but also advance the ideation process quickly and easily in terms of quantity and novelty.
Chen X, Liu X, Ouyang M, et al., 2019, Multi-metal 4D printing with a desktop electrochemical 3D printer, SCIENTIFIC REPORTS, Vol: 9, ISSN: 2045-2322
Garvey B, Chen L, Shi F, et al., 2019, New directions in computational, combinational and structural creativity, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, Vol: 233, Pages: 425-431, ISSN: 0954-4062
Han J, Park D, Shi F, et al., 2019, Three driven approaches to combinational creativity: Problem-, similarity- and inspiration-driven, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, Vol: 233, Pages: 373-384, ISSN: 0954-4062
Childs P, Cropley D, 2019, Creativity in design special section, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, Vol: 233, Pages: 371-372, ISSN: 0954-4062
Han J, Shi F, Chen L, et al., 2018, A computational tool for creative idea generation based on analogical reasoning and ontology, AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, Vol: 32, Pages: 462-477, ISSN: 0890-0604
Zhu L, Li N, Childs PRN, 2018, Light-weighting in aerospace component and system design, PROPULSION AND POWER RESEARCH, Vol: 7, Pages: 103-119, ISSN: 2212-540X
Spyrakos-Papastavridis E, Kashiri N, Childs PRN, et al., 2018, Online impedance regulation techniques for compliant humanoid balancing, Robotics and Autonomous Systems, Vol: 104, Pages: 85-98, ISSN: 0921-8890
This paper presents three distinct techniques, aimed at the online active impedance regulation of compliant humanoid robots, which endeavours to induce a state of balance to the system once it has been perturbed. The presence of passive elastic elements in the drives powering this class of robots leads to under-actuation, thereby rendering the control of compliant robots an intricate task. Consequently, the impedance regulation procedures proposed in this paper directly account for these elastic elements. In order to acquire an indication of the robot’s state of balance in an online fashion, an energy (Lyapunov) function is introduced, whose sign then allows one to ascertain whether the robot is converging to or diverging from, a desired equilibrium position. Computing this function’s time derivative unequivocally gives the energy-injecting nature of the active stiffness regulation, and reveals that active damping regulation has no bearing on the system’s state of stability. Furthermore, the velocity margin notion is interpreted as a velocity value beyond which the system’s balance might be jeopardized, or below which the robot will be guaranteed to remain stable. As a result, the unidirectional and bidirectional impedance optimization methods rely upon the use of bounds that have been defined based on the energy function’s derivative, in addition to the velocity margin. Contrarily, the third technique’s functionality revolves solely around the use of Lyapunov Stability Margins (LSMs). A series of experiments carried out using the COmpliant huMANoid (COMAN), demonstrates the superior balancing results acquired when using the bidirectional scheme, as compared to utilizing the two alternative techniques.
Sikhwal RK, Childs PRN, Innovation toolkit for identification of the optimal module options in open platform architecture products, NordDesign 2018, Publisher: Design Society
Open platform architecture products (OPAP) are the keyenablers for Product designfor Mass Individualisation.Itis a new product design paradigm that comprises an open hardware platform, mass-producedby large manufacturersand multiple independent modules,invented and produced by other smaller companies and by the end-userthat are integratedwith the platform. It gives freedom to end-usersto integrate different modules into the platform as per their choice. This type of product integration will be engaged with by the all actors involved in the design and aims to help them to be more creative and innovative. The end product will be highly individualised and technologically advanced.Based on explorative literature analysis, with practical insights from an industrial questionnaire survey, anInnovation toolkitfor the end-userhas beendeveloped.TheInnovation toolkitprovides a mean of selecting an optimal module option for each module which will be integrated onthe hardware platform. The design of theInnovation toolkitfor OPAP has been approachedin three different steps: Modelling of OPAP, Modelling of evaluation measures and evaluation indices with end-userpreferences and Identification of the optimal module options. In this work, variations in module options for a given module are modelledby an AND-OR tree and parameters of the nodes in this tree. Different module options for the selected module are evaluated by various evaluation measures. These evaluation measures are convertedinto comparable customer satisfaction indices. The optimal OPAP is identifiedby constrained optimisationof the overall customer satisfaction index. Twocase studieshavebeen presented to demonstrate theeffectiveness of the introduced Innovation toolkit.These case studies illustrate that the Innovation toolkit can readily be appliedto these typesof product developmentto obtain a highly individualised OPAP with optimised mo
Han J, Shi F, Chen L, et al., 2018, The Combinator - a computer-based tool for creative idea generation based on a simulation approach, DESIGN SCIENCE, Vol: 4, ISSN: 2053-4701
Spyrakos-Papastavridis E, Dai JS, Childs PRN, et al., 2018, Selective-Compliance-Based Lagrange Model and Multilevel Noncollocated Feedback Control of a Humanoid Robot, Journal of Mechanisms and Robotics, Vol: 10, Pages: 031009-031009, ISSN: 1942-4302
Garvey B, Childs P, DESIGN AS AN UNSTRUCTURED PROBLEM: NEW METHODS TO HELP REDUCE UNCERTAINTY – A PRACTITIONER PERSPECTIVE in Impact of Design Research in Industrial Practice Eds A Chakrabarti and U Lindemann Springer 2016, Impact of Design Research on Industrial Practice
Han J, Shi F, Park D, et al., 2018, The conceptual distances between ideas in combinational creativity, Pages: 1857-1866, ISSN: 1847-9073
© 2018 Faculty of Mechanical Engineering and Naval Architecture. Combinational creativity plays a significant role in design for supporting designers in producing creative ideas at early phases of design. This study provides insights into conceptual distances for forming combinational ideas. The results from a case study indicate that far-related ideas are used more often than closely-related ones to produce creative combinational designs and that far-related ideas could lead to more creative outcomes. The study provides new insights to aid designers in understanding the value of combinational creativity, and support in the production of creative designs.
Michalakoudis I, Aurisicchio M, Childs P, et al., 2018, Empowering manufacturing personnel through functional understanding, PRODUCTION PLANNING & CONTROL, Vol: 29, Pages: 688-703, ISSN: 0953-7287
Garcia-Herrera C, Perkmann M, Childs PRN, 2018, Industry-led corporate start-up accelerator design: Lessons learned in a maritime port complex, Pages: 1845-1856, ISSN: 1847-9073
© 2018 Faculty of Mechanical Engineering and Naval Architecture. Given the increasing disruption in every industry, firms can design new interfaces to further their strategic exploration efforts in order to remain competitive. Based on an inductive multi-case study research in a leading maritime port complex, we devised an actionable framework to design and run an industry-led accelerator through four steps: ecosystem orchestration, innovation funnel generation, flexible matching and scaling corporate start-up recurrent engagement. This framework can guide managerial practice and inform corporate start-up acceleration design in similar industrial contexts.
Chen L, Wang P, Shi F, et al., 2018, A computational approach for combinational creativity in design, Pages: 1815-1824, ISSN: 1847-9073
© 2018 Faculty of Mechanical Engineering and Naval Architecture. Creativity is essential for innovative design. As an important topic in computational creativity research, how to model and generate creativity has sparked much interest. In this paper, combinational creativity is explored to provide potential semantic solutions and to generate visually synthesized solutions based on a given combination. This is achieved by a data-driven module and an artificial intelligence module respectively, which have been implemented as a creativity tool used in a design case study to demonstrate their effectiveness for assisting combinational creativity design.
Chen X, Liu X, Childs P, et al., 2018, Design and fabrication of a low cost desktop electrochemical 3D printer, Pages: 395-400, ISSN: 2424-8967
Copyright © 2018 by Nanyang Technological University. Additive manufacturing (AM) (3D printing) is the process of creating 3D objects from digital models through the layer by layer deposition of materials. Electrochemical additive manufacturing (ECAM) is a relatively new technique which can create metallic components based depositing adherent layers of metal ions onto the surface of conductive substrate. In this paper, the design considerations for a meniscus confined ECAM approach is presented which demonstrates superior print speeds to equivalent works. This is achieved through the increase of the meniscus diameter to 400 \im which was achieved through the integration of a porous sponge into the print head to balance the hydraulic head of the electrolyte. Other piston based methods of controlling the electrolyte meniscus are discussed.
Sikhwal RK, Childs PRN, 2018, Design for Mass Individualisation: Introducing Networked Innovation Approach, Customization 4.0, Publisher: Springer International Publishing, Pages: 19-35, ISBN: 9783319775555
Shi F, Chen L, Han J, et al., 2017, A Data-Driven Text Mining and Semantic Network Analysis for Design Information Retrieval, Journal of Mechanical Design, Transactions of the ASME, Vol: 139, ISSN: 1050-0472
With the advent of the big-data era, massive information stored in electronic and digital forms on the internet become valuable resources for knowledge discovery in engineering design. Traditional document retrieval method based on document indexing focuses on retrieving individual documents related to the query, but is incapable of discovering the various associations between individual knowledge concepts. Ontology-based technologies, which can extract the inherent relationships between concepts by using advanced text mining tools, can be applied to improve design information retrieval in the largescale unstructured textual data environment. However, few of the public available ontology database stands on a design and engineering perspective to establish the relations between knowledge concepts. This paper develops a WordNet focusing on design and engineering associations by integrating the text mining approaches to construct an unsupervised learning ontology network. Subsequent probability and velocity network analysis are applied with different statistical behaviors to evaluate the correlation degree between concepts for design information retrieval. The validation results show that the probability and velocity analysis on our constructed ontology network can help recognize the high related complex design and engineering associations between elements. Finally, an engineering design case study demonstrates the use of our constructed semantic network in real-world project for design relations retrieval.
Chen X, Liu X, Childs P, et al., 2017, A Low Cost Desktop Electrochemical Metal 3D Printer, ADVANCED MATERIALS TECHNOLOGIES, Vol: 2, ISSN: 2365-709X
Hu Z, Rao C, Tao C, et al., 2017, A case-based decision theory based process model to aid product conceptual design, Cluster Computing, Pages: 1-18, ISSN: 1386-7857
In new product development, the rapid proposal of innovative solutions represents an important phase. This in turn relies on creative ideas, their evaluation, refinement and embodiment of worthwhile directions. This study aims to describe a CBDT based process model for product conceptual design that concentrates on rapidly generating innovations with the support of decision-making rationale. Case-based decision theory (CBDT), derived from case-based reasoning, is applied in this paper as a core method to aid design engineers to make an informed decision quickly, thus accelerating the design process. In the process of utilizing CBDT to support a decision, as for the similarity function, the proper value assignment methods to the selected attribute set for calculation are discussed. In order to assist with innovative solution, aspects of the theory of inventive problem solving (TRIZ) are integrated into the case-based reasoning process. Accordingly, a CBDT-TRIZ model is developed. Quality-function deployment is used to translate customer wants into relevant engineering design requirements and thus formulating the design specification. Image-Scale is used to offer an orthogonal coordinates system to aid evaluation. Finally, a case study is used to demonstrate the validity of the proposed process model based on the design of a cordless hand-tool for garden and lawn applications.
Han J, Shi F, Chen L, et al., 2017, The Analogy Retriever – an idea generation tool, 21st International Conference on Engineering Design (ICED 17), Publisher: Design Society, Pages: 011-020, ISSN: 2220-4342
Idea generation plays a vital role in design, but coming up with ideas, especially creative ideas, is often challenging. Analogy is considered as a fundamental component of creativity and a beneficial method for idea generation. This paper presents a computer-based tool, named the Analogy Retriever, for assisting designers in idea generation and prospectively in idea elaboration. The tool is based on an algorithm simulating aspects of the human cognitive process of analogy. It is focused on solving proportional analogy problems (A:B::C:X) by retrieving the unknown term X from a knowledge database. The Analogy Retriever has been indicated to be useful and effective for helping the designers concerned generate creative ideas through conducting a case study. The results indicate that the Analogy Retriever, in its current formulation, can significantly improve the quantity, quality, novelty, and variety of the ideas produced. The tool is suggested to be greatly beneficial to design space exploration and expansion.
Baxter W, Aurisicchio M, Mugge R, et al., Decontaminating experiences with circular offerings, Product Lifetimes and The Environment (PLATE) 2017
Baxter W, Aurisicchio M, Childs P, 2017, Contaminated Interaction Another Barrier to Circular Material Flows, JOURNAL OF INDUSTRIAL ECOLOGY, Vol: 21, Pages: 507-516, ISSN: 1088-1980
Ramos Cabal A, Guarracino I, Mellor A, et al., 2017, Solar-Thermal and Hybrid Photovoltaic-Thermal Systems for Renewable Heating, Publisher: Grantham Institute, Imperial College London
Headlines Heat constitutes about half of total global energy demand. Solar heat offers key advantages over other renewable sources for meeting this demand through distributed, integrated systems. Solar heat is a mature sustainable energy technology capable of mass deployment. There is significant scope for increasing the installed solar heat capacity in Europe. Only a few European countries are close to reaching the EU target of 1 m2 of solar-thermal installations per person. One key challenge for the further development of the solar-thermal market arises from issues related to the intermittency of the solar resource, and the requirement for storage and/or backup systems. The former increases investment costs and limits adaptability. An analysis of EU countries with good market development, suggests that obligation schemes are the best policy option for maximising installations. These do not present a direct cost to the public budget, and determine the growth of the local industry in the long term. Solar-thermal collectors can be combined with photovoltaic (PV) modules to produce hybrid PV-thermal (PV-T) collectors. These can deliver both heat and electricity simultaneously from the same installed area and at a higher overall efficiency compared to individual solar-thermal and PV panels installed separately. Hybrid PV-T technology provides a particularly promising solution when roof space is limited or when heat and electricity are required at the same time.
Han J, Park D, Shi F, et al., 2017, THREE DRIVEN APPROACHES TO COMBINATIONAL CREATIVITY, 21st International Conference on Engineering Design (ICED), Publisher: DESIGN SOC, Pages: 259-268, ISSN: 2220-4334
Sikhwal RK, Childs PRN, 2017, Product Design for Mass Individualisation for Industrial Application, IEEE International Conference on Industrial Engineering and Engineering Management (IEEE IEEM), Publisher: IEEE, Pages: 674-680, ISSN: 2157-3611
Brand A, Childs P, 2017, GIZMO - ARCADIA, THEATRE, CREATURES AND ORCHESTRA, 19th International Conference on Engineering and Product Design Education (E&PDE), Publisher: DESIGN SOC, Pages: 20-25
Hazeri K, Childs PRN, Cropley D, 2017, PROPOSING A NEW PRODUCT CREATIVITY ASSESSMENT TOOL AND A NOVEL METHODOLOGY TO INVESTIGATE THE EFFECTS OF DIFFERENT TYPES OF PRODUCT FUNCTIONALITY ON THE UNDERLYING STRUCTURE OF FACTOR ANALYSIS, 21st International Conference on Engineering Design (ICED), Publisher: DESIGN SOC, Pages: 579-588, ISSN: 2220-4334
Shi F, Chen L, Han J, et al., 2017, IMPLICIT KNOWLEDGE DISCOVERY IN DESIGN SEMANTIC NETWORK BY APPLYING PYTHAGOREAN MEANS ON SHORTEST PATH SEARCHING, ASME International Design Engineering Technical Conferences / Computers and Information in Engineering Conference (IDETC/CIE 2017), Publisher: AMER SOC MECHANICAL ENGINEERS, ISSN: 2159-7383
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.