200 results found
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.
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.
Garvey B, Chen L, Shi F, et al., 2018, New directions in computational, combinational and structural creativity, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, ISSN: 0954-4062
© 2018, IMechE 2018. This paper examines how new and creative relationships in datasets, not easily revealed by conventional information retrieval methods and technologies, can be identified using a mix of established and new methods. The authors present how the integration of computerised morphological analysis with new computational models, incorporating web crawler, data processing networking and data mining algorithms, can help facilitate the identification of new ideas. Boden’s concept of ‘Combinational Creativity’ indicates a structured process, which generates unfamiliar combinations of familiar concepts and constructs allowing creative styles of thought. This structured approach has been constrained by the resultant combinatorial explosion and the dearth of easily accessible computer software and supporting methodologies, to help identify viable new solutions. Feature-enhanced computerised morphological analysis provides a new structural support tool for creativity and innovation. Morphological analysis systematically structures and examines all the possible relationships in a multidimensional, highly complex, usually non-quantifiable problem space. Computerisation of the process now permits large number of configurations (millions) in the problem space to be majorly reduced (typically > 95%), identifying only internally consistent solutions. These solutions are likely to embrace configurations containing something, which has not previously been considered, thus increasing the probability of some form of technological or design breakthrough and hence truly creative.
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
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
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
Sikhwal RK, Childs PRN, 2018, Design for Mass Individualisation: Introducing Networked Innovation Approach, Customization 4.0, Editors: Hankammer, Nielsen, Piller, Schuh, Wang, Publisher: Springer International Publishing, Pages: 19-35, ISBN: 978-3-319-77555-5
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
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.
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
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
Baxter W, Aurisicchio M, Mugge R, et al., 2017, Decontaminating experiences with circular offerings, 2nd Conference on Product Lifetimes and the Environment (PLATE), Publisher: IOS PRESS, Pages: 32-36
Baxter W, Childs P, 2017, Designing circular possessions, Routledge Handbook of Sustainable Product Design, Pages: 391-404, ISBN: 9781317435938
© 2017 selection and editorial matter, Jonathan Chapman; individual chapters, the contributors. The notion of possession is one of the most fundamental concepts that guide everyday behaviour. Paradoxically, it is often poorly understood. This is particularly true in a circular context where consumer interactions with possessions are being altered and in some cases redefined. Thus, an understanding of possession serves as a useful, if not necessary, prerequisite to designing circular products, services and systems. This chapter explores the idea of possession: what it is, how an object becomes one and why it is important for the circular economy. Possession is understood through a human-centred lens that considers the consumer’s state of mind towards and relationship with an object. A state of possessiveness can be attained for material or immaterial objects and for objects that may or may not legally belong to the person. The discussion is presented within a design framework that discusses the motives and routes that lead to the state of possession. This framework is substantiated by looking at affordance principles and paths associated with possession. Each section includes a theoretical discussion as well as practical examples and insights that can be incorporated into the product design process itself. This chapter aids in understanding interactions relevant to the circular economy such as the maintenance and care that comes with object attachment and adoption of access-based consumption models. Understanding and designing for these desired interactions should be the first priority of designers followed by an establishment of laws, regulations and policies to support them.
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
Chen L, Shi F, Han J, et al., 2017, A NETWORK-BASED COMPUTATIONAL MODEL FOR CREATIVE KNOWLEDGE DISCOVERY BRIDGING HUMAN-COMPUTER INTERACTION AND DATA MINING, ASME International Design Engineering Technical Conferences / Computers and Information in Engineering Conference (IDETC/CIE 2017), Publisher: AMER SOC MECHANICAL ENGINEERS, ISSN: 2159-7383
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
Han J, Park D, Shi F, et al., 2017, Three driven approaches to combinational creativity, Pages: 259-268, ISSN: 2220-4334
Creativity is a crucial element of design, and a human attribute that has aroused significant attention. However, few studies have focused on the factors and motivations that drive creativity. The aim of the study is to investigate the driving forces behind combinational creativity for developing original creative products. We propose three driven approaches to combinational creativity, the problem-driven approach, the common-driven approach, and the inspiration-driven approach, based on previous research projects on design process, design strategy, and design cognition. A test involving two-hundred practical products has been conducted to validate the three approaches by means of expert evaluation. The test results have indicated the validity of the three driven approaches. The three approaches proposed in this study have provided an understanding of how combinational creativity is driven in design, which could lead to a better comprehension of human creativity in design. The study enables indication that the three approaches can be applied by designers to aid in the production of creative designs for and in resource-limited societies.
Han J, Park D, Shi F, et al., 2017, 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, ISSN: 0954-4062
© 2017, IMechE 2017. Creativity is a crucial element of design. The aim of this study is to investigate the driving forces behind combinational creativity. We propose three driven approaches to combinational creativity, problem-, similarity- and inspiration-driven, based on previous research projects on design process, strategy and cognition. A case study involving hundreds of practical products selected from winners of international design competitions has been conducted to evaluate the three approaches proposed. The results support the three driven approaches and indicate that they can be used independently as well as complementarily. The three approaches proposed in this study have provided an understanding of how combinational creativity functions in design. The approaches could be used as a set of creative idea generation methods for supporting designers in producing creative design ideas.
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.
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.
Li W, Zhang J, Mi P, et al., 2017, The effect of gravity on R410A condensing flow in horizontal circular tubes, NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, Vol: 71, Pages: 327-340, ISSN: 1040-7782
Michalakoudis I, Childs P, Aurisicchio M, et al., 2017, Using functional analysis diagrams to improve product reliability and cost, ADVANCES IN MECHANICAL ENGINEERING, Vol: 9, ISSN: 1687-8140
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.
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.
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
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
Baxter W, Yang X, Aurisicchio M, et al., 2016, Exploring a human-centred design of possessions, 12th Biennial NordDesign Conference on Highlighting the Nordic Approach, Publisher: DESIGN SOC, Pages: 53-62
Baxter WL, Aurisicchio M, Childs PRN, 2016, Materials, use and contaminated interaction, MATERIALS & DESIGN, Vol: 90, Pages: 1218-1227, ISSN: 0264-1275
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