Computer-aided design for manufacturing process selection

Yu, Jyh-Cheng; Krizan, Steven; Ishii, Kosuke

doi:10.1007/bf00123964

Cited by 36 publications

(16 citation statements)

References 4 publications

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“…Now, the designers have the new technologies available for design assistance (Adenauer et al 2013) and design engineer communication within project work (Regli 1997). For the last few decades, the design process could not be understood without the integration of the new technologies in all its phases -from idea conceptualization and formal research (Grabska 2012;Seichter 2003) to its transfer to industry (Groover and Zimmers 1983;Jezernik and Hren 2003;Yu et al 1993). These points motivate that future engineers need to be trained in the use of ICT right from the academic stage of their preparation (Flowers 2001).…”

Section: Introductionmentioning

confidence: 99%

The effect of information and communication technologies on creativity in collaborative design

et al. 2016

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This study compares the degree of creativity of forty-two conceptual designs proposed as solutions to two innovative design problems developed in face-to-face and virtual collaborative environments. The solutions obtained were evaluated by three experts applying the Moss metric, which considers the level of usefulness and the level of unusualness. The average values and the trends of the data were obtained and an analysis of the variance was also performed to determine whether the environment influences the degree of creativity. The results show that it cannot be proved that the level of creativity is influenced by working face-to-face or virtually, that is, whether Information and Communication Technologies (ICTs) are used or not has no effect on the final result.

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Section: Introductionmentioning

confidence: 99%

The effect of information and communication technologies on creativity in collaborative design

et al. 2016

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“…relating to material and product specifications). Yu et al [79] develop a computer-based routine which connects the geometrical factors, material and production factors attributes for identifying the most suitable process (i.e. selecting from casting, hot and cold forging processes).…”

Section: Process and Materials Selection In Literaturementioning

confidence: 99%

Process selection methodology for near net shape manufacturing

Marini

Corney

2019

Int J Adv Manuf Technol

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This paper presents a new selection methodology that for the first time supports the identification of Near Net Shape (NNS) processes. The methodology, known as "Product, Geometry, Manufacturing and Materials Matching" (ProGeMa3), is composed of four steps, which aim to minimize raw material usage and machining by adopting a NNS approach. A key component of the methodology is the Process Selection Matrix (ProSMa) that associates a component's shape and production volume with its material requirements to reduce the number of candidate NNS processes. A final selection is then made from this shortlist by using fuzzy logic and considering other constraints and functional requirements. The ProGeMa3 selection process is illustrated by its application to an industrial component that resulted in changes to the processes used for its commercial manufacture. The ProGeMa3 and ProSMa presented in this paper aspires to be current and comprehensive for solid metallic components produced by casting, forging and additive technologies. However, ProSMa is also accessible as an open source resource available for other researcher to extend and adapt.

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“…The procedures in this system are divided into four parts: input data on product geometry, selection of manufacturing process, selection of material and data update. Yu et al [19] developed the system for the selection and ranking of manufacturing processes (Computer-Aided Design for Manufacturing Process Selection) which is focused on net-shape processes. The geometry is described by the classification of product shape and size.…”

Section: Literature Review and Researchmentioning

confidence: 99%

Multi-criteria selection of manufacturing processes in the conceptual process planning

Lukić¹,

Milošević²,

Antić³

et al. 2017

Adv produc engineer manag

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Process planning is one of the most difficult tasks in product development caused by the large number of technical, technological, economic, environmental and other criteria. Accordingly, the selection of manufacturing processes is a complex multi-criteria decision making problem since it considers a number of possible alternative manufacturing processes in addition to a large number of specified criteria. This paper represents the computer-aided methodology for the multi-criteria evaluation and selection of manufacturing processes at the stage of conceptual process planning. The developed methodology is primarily focused on the mapping of product design and manufacturing requirements. Manufacturing processes that fail to meet the given conditions on the basis of 10 criteria such as materials, production volume, productivity, dimensional accuracy, surface finish, etc., are eliminated according to the developed rules. Then, the multi-criteria evaluation and ranking of manufacturing processes is performed based on 5 criteria: manufacturing cycle time, process flexibility, material utilization, quality and operating costs. Based on this methodology, a system is developed for the multi-criteria selection of manufacturing processes, whose implementation is presented in the case of the hip joint endoprosthesis.

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Computer-aided design for manufacturing process selection

Cited by 36 publications

References 4 publications

The effect of information and communication technologies on creativity in collaborative design

The effect of information and communication technologies on creativity in collaborative design

Process selection methodology for near net shape manufacturing

Multi-criteria selection of manufacturing processes in the conceptual process planning

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