Pub Date : 2023-09-26DOI: 10.1080/09544828.2023.2261096
Jingchao Jiang, Xiaoya Zhai, Liuchao Jin, Kang Zhang, Jun Chen, Qitao Lu, Wei-Hsin Liao
AbstractAdditive manufacturing (AM) technologies have been widely used in construction, medical, military, aerospace, fashion, etc. As AM advances, increasing new AM-based manufacturing methods have been developed (e.g. CNC machining and AM hybrid manufacturing). Recently, a new manufacturing method ‘reversed additive manufacturing (RAM)’ was proposed by the authors. First, the designed objective part needs to be reversed using a bounding box, obtaining the reversed outside part. Then fabricate the reversed outside part using AM with dissolvable material (e.g. PLA). After that, fill the reversed outside part using aimed material (e.g. low-melting-point alloys) of the objective part. Lastly, soak the whole part into the dissolvent to dissolve the outside part, obtaining the final objective part. In this paper, design for RAM is proposed. Print orientation, print parameter settings, injection parameter settings, shrinkage, cost and post-processing are discussed. Experiments with several lattice structures are carried out and case studies are demonstrated. The findings of this paper can benefit the design process for RAM, improving the design efficiency for RAM.KEYWORDS: Additive manufacturing3D Printingreversed additive manufacturinginjectiondesign AcknowledgementsThis study is funded by Research Grants Council (C4074-22G), Innovation and Technology Commission (MHP/043/20, under PiH/278/22), Hong Kong Special Administrative Region, China, The Chinese University of Hong Kong (Project ID: 3110174), Provincial Natural Science Foundation of Anhui (2208085QA01) and Fundamental Research Funds for the Central Universities (WK0010000075).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by Chinese University of Hong Kong [grant number Project ID: 3110174]; Fundamental Research Funds for the Central Universities [grant number WK0010000075]; Innovation and Technology Commission [grant number MHP/043/20, under PiH/278/22]; Natural Science Foundation of Anhui Province [grant number 2208085QA01]; Research Grants Council, University Grants Committee [grant number C4074-22G].
{"title":"Design for reversed additive manufacturing low-melting-point alloys","authors":"Jingchao Jiang, Xiaoya Zhai, Liuchao Jin, Kang Zhang, Jun Chen, Qitao Lu, Wei-Hsin Liao","doi":"10.1080/09544828.2023.2261096","DOIUrl":"https://doi.org/10.1080/09544828.2023.2261096","url":null,"abstract":"AbstractAdditive manufacturing (AM) technologies have been widely used in construction, medical, military, aerospace, fashion, etc. As AM advances, increasing new AM-based manufacturing methods have been developed (e.g. CNC machining and AM hybrid manufacturing). Recently, a new manufacturing method ‘reversed additive manufacturing (RAM)’ was proposed by the authors. First, the designed objective part needs to be reversed using a bounding box, obtaining the reversed outside part. Then fabricate the reversed outside part using AM with dissolvable material (e.g. PLA). After that, fill the reversed outside part using aimed material (e.g. low-melting-point alloys) of the objective part. Lastly, soak the whole part into the dissolvent to dissolve the outside part, obtaining the final objective part. In this paper, design for RAM is proposed. Print orientation, print parameter settings, injection parameter settings, shrinkage, cost and post-processing are discussed. Experiments with several lattice structures are carried out and case studies are demonstrated. The findings of this paper can benefit the design process for RAM, improving the design efficiency for RAM.KEYWORDS: Additive manufacturing3D Printingreversed additive manufacturinginjectiondesign AcknowledgementsThis study is funded by Research Grants Council (C4074-22G), Innovation and Technology Commission (MHP/043/20, under PiH/278/22), Hong Kong Special Administrative Region, China, The Chinese University of Hong Kong (Project ID: 3110174), Provincial Natural Science Foundation of Anhui (2208085QA01) and Fundamental Research Funds for the Central Universities (WK0010000075).Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by Chinese University of Hong Kong [grant number Project ID: 3110174]; Fundamental Research Funds for the Central Universities [grant number WK0010000075]; Innovation and Technology Commission [grant number MHP/043/20, under PiH/278/22]; Natural Science Foundation of Anhui Province [grant number 2208085QA01]; Research Grants Council, University Grants Committee [grant number C4074-22G].","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-22DOI: 10.1080/09544828.2023.2260665
Sean Rismiller, Jonathan Cagan, Christopher McComb
AbstractEngineering design problems are often decomposed and distributed among design teams so that their components may be developed concurrently in a project. Set-based concurrent engineering (SBCE) details a development process that reduces the need for communication and rework, often considered limiting factors to concurrency, by maintaining many candidate designs for each subproblem throughout the design process. This ensures that candidates have some compatible options to combine with as the project progresses rather than needing constant coordination and adaptation. Previous studies of SBCE found positive results in industry and corroborated its claimed benefits with computational models but have yet to study how it interacts with problem decomposition. This work uses the Point/Set-Organised Research Teams (PSORT) platform, a computational model developed to simulate and study SBCE, to investigate how SBCE interacts with a problem decomposed to different degrees to understand its impact on the limits of concurrency. Problem decompositions are also formulated with varying amounts of coupling to further test the interactions of SBCE and concurrency in different situations. Simulations with PSORT find that SBCE becomes more beneficial as problem decomposition increases, suggesting that SBCE expands the limits of concurrency; however small teams may prefer not to use SBCE.KEYWORDS: Concurrent engineeringmulti-agent systemsset-based designproblem decomposition AcknowledgementsThe authors would like to thank Guanglu Zhang and Wenzhuo Xu for their review and comments on this work.Disclosure statementNo potential conflict of interest was reported by the author(s).Data and software availabilityThe data and software used to generate it can be found at the Sean Rismiller PSORT dissertation repository in the ch4 folder at http://doi.org/, reference number 10.5281/zenodo.7814683.
{"title":"Delimiting design: expanding the limits of concurrency through set-based concurrent engineering","authors":"Sean Rismiller, Jonathan Cagan, Christopher McComb","doi":"10.1080/09544828.2023.2260665","DOIUrl":"https://doi.org/10.1080/09544828.2023.2260665","url":null,"abstract":"AbstractEngineering design problems are often decomposed and distributed among design teams so that their components may be developed concurrently in a project. Set-based concurrent engineering (SBCE) details a development process that reduces the need for communication and rework, often considered limiting factors to concurrency, by maintaining many candidate designs for each subproblem throughout the design process. This ensures that candidates have some compatible options to combine with as the project progresses rather than needing constant coordination and adaptation. Previous studies of SBCE found positive results in industry and corroborated its claimed benefits with computational models but have yet to study how it interacts with problem decomposition. This work uses the Point/Set-Organised Research Teams (PSORT) platform, a computational model developed to simulate and study SBCE, to investigate how SBCE interacts with a problem decomposed to different degrees to understand its impact on the limits of concurrency. Problem decompositions are also formulated with varying amounts of coupling to further test the interactions of SBCE and concurrency in different situations. Simulations with PSORT find that SBCE becomes more beneficial as problem decomposition increases, suggesting that SBCE expands the limits of concurrency; however small teams may prefer not to use SBCE.KEYWORDS: Concurrent engineeringmulti-agent systemsset-based designproblem decomposition AcknowledgementsThe authors would like to thank Guanglu Zhang and Wenzhuo Xu for their review and comments on this work.Disclosure statementNo potential conflict of interest was reported by the author(s).Data and software availabilityThe data and software used to generate it can be found at the Sean Rismiller PSORT dissertation repository in the ch4 folder at http://doi.org/, reference number 10.5281/zenodo.7814683.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"334 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136061008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-22DOI: 10.1080/09544828.2023.2261095
Gaige Chen, Ye Li, Songyu Han, Haidong Shao, Xingkai Yang
AbstractHigh-speed bearings are often required to undertake long-term operation under unsatisfactory scenarios such as heavy load condition, and the raw vibration signals from the high-speed bearings are usually acquired with strong instability. In addition, the fault samples are unbalanced which far less than the healthy samples. Conventional intelligent fault diagnosis methods are subject to skew large samples, leading to the degradation of diagnosis performance. For this purpose, a convolutional weight adaptive network is proposed in this paper. Firstly, a multi-scale feature extraction network is constructed for extracting multi-scale fault features and excavating useful hidden information. Afterwards, the feature weight self-adaptive module is developed to dynamically fuse multi-scale fault features to heighten the contribution of the high-related features and to diminish the effect of the non-related features. Finally, the modified Focal loss is designed to re-balance the cost of various types of small fault samples and large healthy samples during the training process, making the model pay more attention to the samples which are few and easily confused. The experimental analysis by using vibration data of high-speed bearing demonstrates the feasibility and effectiveness of the proposed intelligent fault diagnosis method under unbalanced samples.KEYWORDS: Intelligent fault diagnosishigh-speed bearingsunbalanced samplesfeature weight self-adaptive modulemodified focal loss Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research is supported by the National Natural Science Foundation of China (No. 62271390, No. 52275104), the Key Project of National Defense Basic Scientific Research Program of China (No. JCKY2020203B051), the Science and Technology Innovation Program of Hunan Province (No. 2023RC3097), and the Natural Science Fund for Excellent Young Scholars of Hunan Province (No. 2021JJ20017).
{"title":"Intelligent fault diagnosis for high-speed bearing towards unbalanced samples via convolutional weight adaptive network","authors":"Gaige Chen, Ye Li, Songyu Han, Haidong Shao, Xingkai Yang","doi":"10.1080/09544828.2023.2261095","DOIUrl":"https://doi.org/10.1080/09544828.2023.2261095","url":null,"abstract":"AbstractHigh-speed bearings are often required to undertake long-term operation under unsatisfactory scenarios such as heavy load condition, and the raw vibration signals from the high-speed bearings are usually acquired with strong instability. In addition, the fault samples are unbalanced which far less than the healthy samples. Conventional intelligent fault diagnosis methods are subject to skew large samples, leading to the degradation of diagnosis performance. For this purpose, a convolutional weight adaptive network is proposed in this paper. Firstly, a multi-scale feature extraction network is constructed for extracting multi-scale fault features and excavating useful hidden information. Afterwards, the feature weight self-adaptive module is developed to dynamically fuse multi-scale fault features to heighten the contribution of the high-related features and to diminish the effect of the non-related features. Finally, the modified Focal loss is designed to re-balance the cost of various types of small fault samples and large healthy samples during the training process, making the model pay more attention to the samples which are few and easily confused. The experimental analysis by using vibration data of high-speed bearing demonstrates the feasibility and effectiveness of the proposed intelligent fault diagnosis method under unbalanced samples.KEYWORDS: Intelligent fault diagnosishigh-speed bearingsunbalanced samplesfeature weight self-adaptive modulemodified focal loss Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research is supported by the National Natural Science Foundation of China (No. 62271390, No. 52275104), the Key Project of National Defense Basic Scientific Research Program of China (No. JCKY2020203B051), the Science and Technology Innovation Program of Hunan Province (No. 2023RC3097), and the Natural Science Fund for Excellent Young Scholars of Hunan Province (No. 2021JJ20017).","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136060795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-30DOI: 10.1080/09544828.2023.2250633
W. Lin, Yu Wang, Renbin Xiao
ABSTRACT Functional module recombination is a common means for manufacturers to upgrade and launch new product quickly. However, this method may bring with significant risks and it requires accurate identification on market trends in the uncertain environments, and cannot be achieved depend on expert experience. Therefore, a data-driven approach is proposed for product function recombination based on online reviews. Firstly, the information collection for e-commerce data is carried out to obtain product functional description, and the incidence matrix (IM) is formed by combining the corresponding relationship between function and product, so as to construct the hypergraph model. After that, for calculating the hyperedge weight and hyperedge degree as well as the hypernode weight and hypernode degree, random walk algorithm is introduced to obtain the transition probability between the function nodes. Moreover, three innovation strategies of product function recombination are proposed, including function expand, function trim and function replace respectively. Meanwhile, through the results of transition probability calculation, quantitative analysis is utilised for the implementation of different strategies. Finally, the headphone is taken as a case to verify the method, which is indicated as an effective functional optimisation tool and can provide a new research basis for product design.
{"title":"A hypergraph model of product function recombination based on online reviews","authors":"W. Lin, Yu Wang, Renbin Xiao","doi":"10.1080/09544828.2023.2250633","DOIUrl":"https://doi.org/10.1080/09544828.2023.2250633","url":null,"abstract":"ABSTRACT Functional module recombination is a common means for manufacturers to upgrade and launch new product quickly. However, this method may bring with significant risks and it requires accurate identification on market trends in the uncertain environments, and cannot be achieved depend on expert experience. Therefore, a data-driven approach is proposed for product function recombination based on online reviews. Firstly, the information collection for e-commerce data is carried out to obtain product functional description, and the incidence matrix (IM) is formed by combining the corresponding relationship between function and product, so as to construct the hypergraph model. After that, for calculating the hyperedge weight and hyperedge degree as well as the hypernode weight and hypernode degree, random walk algorithm is introduced to obtain the transition probability between the function nodes. Moreover, three innovation strategies of product function recombination are proposed, including function expand, function trim and function replace respectively. Meanwhile, through the results of transition probability calculation, quantitative analysis is utilised for the implementation of different strategies. Finally, the headphone is taken as a case to verify the method, which is indicated as an effective functional optimisation tool and can provide a new research basis for product design.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"34 1","pages":"746 - 777"},"PeriodicalIF":2.7,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47435453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-29DOI: 10.1080/09544828.2023.2248801
Sean Agius, P. Farrugia, Emmanul Francalanza
The physical construct of a dual ontological product is essential for those products which physically interact directly with humans, whereas the product's emotional construct interconnects with human cognition. Multitude of human factor aspects must be considered when designing dual ontological products. To increase the product's impact and reach, designers should also understand the requirements of potential users. Designers find it difficult to achieve the right compromise between these constructions. This research therefore contributes a novel harmonistic knowledge-based computational support tool which makes designers aware of design stage conflicts and consequences of commitments made on human factors in the use phase of the artefact. This paper describes in detail the machine learning and harmonistic knowledge-based system which exploits information collected directly from potential users to proactively assist, guide, and motivate product designers. The paper takes the motorcycle artefact as a case of dual ontological product. The prototype support tool has been evaluated with 28 motorcycle design engineers. The results obtained from this evaluation have shown that the approach and design computational-based tool meet their goals, are beneficial, and are required in design engineering practice.
{"title":"Designing dual ontological products for human factors: a machine learning and harmonistic knowledge-based computational support tool","authors":"Sean Agius, P. Farrugia, Emmanul Francalanza","doi":"10.1080/09544828.2023.2248801","DOIUrl":"https://doi.org/10.1080/09544828.2023.2248801","url":null,"abstract":"The physical construct of a dual ontological product is essential for those products which physically interact directly with humans, whereas the product's emotional construct interconnects with human cognition. Multitude of human factor aspects must be considered when designing dual ontological products. To increase the product's impact and reach, designers should also understand the requirements of potential users. Designers find it difficult to achieve the right compromise between these constructions. This research therefore contributes a novel harmonistic knowledge-based computational support tool which makes designers aware of design stage conflicts and consequences of commitments made on human factors in the use phase of the artefact. This paper describes in detail the machine learning and harmonistic knowledge-based system which exploits information collected directly from potential users to proactively assist, guide, and motivate product designers. The paper takes the motorcycle artefact as a case of dual ontological product. The prototype support tool has been evaluated with 28 motorcycle design engineers. The results obtained from this evaluation have shown that the approach and design computational-based tool meet their goals, are beneficial, and are required in design engineering practice.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"34 1","pages":"718 - 745"},"PeriodicalIF":2.7,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49491682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-22DOI: 10.1080/09544828.2023.2248800
Maolin Yang, Wei Dai, Pingyu Jiang
Additive manufacturing (AM) has the capability of producing parts with more complicated shapes and functions compared with subtractive manufacturing. Design for additive manufacturing (DfAM) aims at producing design solutions that can be additively manufactured. During DfAM, analysing the printability and integratbility of a target assembly are important tasks. However, the tasks require systematic analysis of the structural/functional/material characteristics, working conditions, and interaction relations among the parts in the target assembly, fully understanding of the capability and limitation of the applied AM equipment, and comprehensive design decision-making considering the characteristics of AM processing, etc. This makes it challenging to conduct printability and integratbility analysis tasks. In this regard, an expert system is established which is realised with Function-Behaviour-Structure oriented assembly structure characteristic analysing, ontology instance-based assembly structure characteristic modelling, and modified RETE algorithm-based design decision-making. The system is capable of providing decision guidance on which parts in a target assembly can be printed and which among these printable parts can be printed integratedly. In this way, it can support DfAM implementation in a computer-aided manner. A WebApp that encapsulates the system is developed, and a robot arm DfAM redesign project is used as a case study.
{"title":"An expert system for analysing the printability and integratability of assembly structures under the context of design for additive manufacturing","authors":"Maolin Yang, Wei Dai, Pingyu Jiang","doi":"10.1080/09544828.2023.2248800","DOIUrl":"https://doi.org/10.1080/09544828.2023.2248800","url":null,"abstract":"Additive manufacturing (AM) has the capability of producing parts with more complicated shapes and functions compared with subtractive manufacturing. Design for additive manufacturing (DfAM) aims at producing design solutions that can be additively manufactured. During DfAM, analysing the printability and integratbility of a target assembly are important tasks. However, the tasks require systematic analysis of the structural/functional/material characteristics, working conditions, and interaction relations among the parts in the target assembly, fully understanding of the capability and limitation of the applied AM equipment, and comprehensive design decision-making considering the characteristics of AM processing, etc. This makes it challenging to conduct printability and integratbility analysis tasks. In this regard, an expert system is established which is realised with Function-Behaviour-Structure oriented assembly structure characteristic analysing, ontology instance-based assembly structure characteristic modelling, and modified RETE algorithm-based design decision-making. The system is capable of providing decision guidance on which parts in a target assembly can be printed and which among these printable parts can be printed integratedly. In this way, it can support DfAM implementation in a computer-aided manner. A WebApp that encapsulates the system is developed, and a robot arm DfAM redesign project is used as a case study.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"34 1","pages":"691 - 717"},"PeriodicalIF":2.7,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49141234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-17DOI: 10.1080/09544828.2023.2247860
Yizhe Zhang, G. Jacobs, Wei Yu, Gregor Hoepfner, J. Berroth
Model-Based Systems Engineering (MBSE) is a popular system engineering development method focusing on digital models as the primary mean of information exchange to improve communication across disciplines. To implement MBSE, the system model needs to be created to represent systems at different layers of abstraction, such as requirements, functional architectures, and solution designs throughout the development phase. Although many studies have mentioned the need to pay attention to the traceability between different layers of system models, there is still a lack of an automated system modeling process. This can lead to inefficiencies and even errors during the system modeling process. A semi-automated system modeling process based on Systems Modeling Language (SysML) is presented to overcome the issue. This work elaborates on a formalised modeling mechanism based on SysML elements to aid system engineers in system modeling with a function-oriented architecture. This work demonstrates and evaluates the proposed process by developing a wind turbine (WT) system model. The contribution of this study is that it realizes the semi-automatic top-down system modeling process. This ensures data inheritance and consistency between different system model layers of abstraction. It also reduces manual efforts and improves the efficiency of the system modeling process.
{"title":"A system modeling process based on SysML to support data consistency across system requirement, function, and solution model layers","authors":"Yizhe Zhang, G. Jacobs, Wei Yu, Gregor Hoepfner, J. Berroth","doi":"10.1080/09544828.2023.2247860","DOIUrl":"https://doi.org/10.1080/09544828.2023.2247860","url":null,"abstract":"Model-Based Systems Engineering (MBSE) is a popular system engineering development method focusing on digital models as the primary mean of information exchange to improve communication across disciplines. To implement MBSE, the system model needs to be created to represent systems at different layers of abstraction, such as requirements, functional architectures, and solution designs throughout the development phase. Although many studies have mentioned the need to pay attention to the traceability between different layers of system models, there is still a lack of an automated system modeling process. This can lead to inefficiencies and even errors during the system modeling process. A semi-automated system modeling process based on Systems Modeling Language (SysML) is presented to overcome the issue. This work elaborates on a formalised modeling mechanism based on SysML elements to aid system engineers in system modeling with a function-oriented architecture. This work demonstrates and evaluates the proposed process by developing a wind turbine (WT) system model. The contribution of this study is that it realizes the semi-automatic top-down system modeling process. This ensures data inheritance and consistency between different system model layers of abstraction. It also reduces manual efforts and improves the efficiency of the system modeling process.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"34 1","pages":"674 - 690"},"PeriodicalIF":2.7,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42517908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-03DOI: 10.1080/09544828.2023.2249216
Mengting Zhao, D. Qiu, Yong Zeng
When given a ‘good’ workload, human participants can efficiently complete the assigned task within the time limit, while they may fail to complete it due to low efficiency when given a ‘bad’ workload. The objective of this research is to investigate how much workload is considered ‘good’ for individuals to meet a deadline and successfully complete the assigned task. High work efficiency can be achieved by manipulating workload assignments and assigning them to different individuals at the appropriate time. We have defined the range of this ‘good’ workload as the capacity zone, which should be supported by necessary interventions from computers or human instructors. The capacity zone represents the area between the two workload equilibrium points, whose position and shape are influenced by factors such as mental capacity, maximum efficiency, and stress limit. Our analysis and simulation results indicate that humans are only capable of effectively completing a large amount of workload assignment by the deadline when working within their capacity zone. Therefore, this research aims to enhance overall work efficiency by customising workload allocation strategies based on different individuals' capacity zone and providing timely intervention when they are working beyond their capacity zone.
{"title":"How much workload is a ‘good’ workload for human beings to meet the deadline: human capacity zone and workload equilibrium","authors":"Mengting Zhao, D. Qiu, Yong Zeng","doi":"10.1080/09544828.2023.2249216","DOIUrl":"https://doi.org/10.1080/09544828.2023.2249216","url":null,"abstract":"When given a ‘good’ workload, human participants can efficiently complete the assigned task within the time limit, while they may fail to complete it due to low efficiency when given a ‘bad’ workload. The objective of this research is to investigate how much workload is considered ‘good’ for individuals to meet a deadline and successfully complete the assigned task. High work efficiency can be achieved by manipulating workload assignments and assigning them to different individuals at the appropriate time. We have defined the range of this ‘good’ workload as the capacity zone, which should be supported by necessary interventions from computers or human instructors. The capacity zone represents the area between the two workload equilibrium points, whose position and shape are influenced by factors such as mental capacity, maximum efficiency, and stress limit. Our analysis and simulation results indicate that humans are only capable of effectively completing a large amount of workload assignment by the deadline when working within their capacity zone. Therefore, this research aims to enhance overall work efficiency by customising workload allocation strategies based on different individuals' capacity zone and providing timely intervention when they are working beyond their capacity zone.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"34 1","pages":"644 - 673"},"PeriodicalIF":2.7,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46279727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-03DOI: 10.1080/09544828.2023.2245533
P. Koomsap, Balasooriya Rallage Yasara Dharmerathne, Duangthida Hussadintorn Na Ayutthaya
The Kano model has been recognised for almost forty years as an effective tool for revealing implicit customer ideas that are often unclear and difficult to describe by relating the fulfilment of offering quality attributes to customer satisfaction. So has the Kano methodology for realising the model in practice in product design and development, strategic thinking, business planning, etc. Despite their success, it has long been reported that the Kano classification of customer requirements needs to reflect the level of customer satisfaction accurately. Researchers have focused on increasing the model’s accuracy throughout the years, especially by introducing much more quantitative approaches to the Kano categorisation. Still, the traditional one remains well-accepted in practice as it is the most straightforward logical procedure that non-experts can follow. Rather than introducing complexity, this research focuses on improving the traditional Kano model without altering its procedure by creating awareness of common mistakes when implementing the model and suggesting incorporating a couple of steps to avoid them. It is crucial to understand the selection of the five answer choices and their compatibility with the Kano evaluation table. Few case studies are available to illustrate how sensitive to common mistakes the outcomes are.
{"title":"Examination of common mistakes for successful leveraging the Kano model and proposal for enhancement","authors":"P. Koomsap, Balasooriya Rallage Yasara Dharmerathne, Duangthida Hussadintorn Na Ayutthaya","doi":"10.1080/09544828.2023.2245533","DOIUrl":"https://doi.org/10.1080/09544828.2023.2245533","url":null,"abstract":"The Kano model has been recognised for almost forty years as an effective tool for revealing implicit customer ideas that are often unclear and difficult to describe by relating the fulfilment of offering quality attributes to customer satisfaction. So has the Kano methodology for realising the model in practice in product design and development, strategic thinking, business planning, etc. Despite their success, it has long been reported that the Kano classification of customer requirements needs to reflect the level of customer satisfaction accurately. Researchers have focused on increasing the model’s accuracy throughout the years, especially by introducing much more quantitative approaches to the Kano categorisation. Still, the traditional one remains well-accepted in practice as it is the most straightforward logical procedure that non-experts can follow. Rather than introducing complexity, this research focuses on improving the traditional Kano model without altering its procedure by creating awareness of common mistakes when implementing the model and suggesting incorporating a couple of steps to avoid them. It is crucial to understand the selection of the five answer choices and their compatibility with the Kano evaluation table. Few case studies are available to illustrate how sensitive to common mistakes the outcomes are.","PeriodicalId":50207,"journal":{"name":"Journal of Engineering Design","volume":"34 1","pages":"591 - 615"},"PeriodicalIF":2.7,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42619695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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