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Grant: Discovery Grants Program - Individual

University of Manitoba

$78,000.00

Research on Key Technologies of a Virtual Reality-based Product Test Platform

EF 2024-25

Résumé
Various customer requirements and design feasibilities have to be effectively tested and evaluated in the early stage of product development to obtain the best chance for the product to eventually meet customer satisfaction. This requires deep knowledge and extensive information on the product design, manufacturing and application. Existing methods of product testing and evaluation lack the capability to cope with the current trend of user expectations for products that are characterized by complexity, connectivity, and diversity. User interactions and product models are not fully integrated in product development and application environments. This proposal will develop a virtual test platform for product evaluation and improvement. The research efforts will focus on key technologies of a virtual product test platform with the following goals: 1) development of intelligent methods using machine learning to reduce dependence of experience for decision-making during product evaluation and improvement; 2) development of a gesture-based interactive method to enable the involvement of product users in product development; and 3) implementation of the virtual test platform and evaluation of its performance by using industrial and consumer products. The proposed research will advance the field of product development by introducing processes that are capable of understanding the intent of product users. This will lead to a self-evolution product design system. This research will make a significant step towards automatic design using machine learning methods to summarize design knowledge and automatically form design rules to guide product development that is independent of human experience. This is a new direction in product development driven by the ever-growing need for product innovation. The proposed research will develop tools for industry and product users to test and explore various product solutions in a controllable computer environment that can provide feasible and tangible solutions for product development. It will also be essential for the next generation of manufacturing systems, which adopts the Internet of Things, Digital Manufacturing capabilities, 3D printing and Big Data analytics in product development.
Programme
Discovery Grants Program - Individual
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2020-05687
Name nom
Peng, Qingjin
Department département
Mechanical Engineering - Mechanical Engineering
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2020
Award amount
78000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
1701
Research subject group en
Design and manufacturing
Research subject group fr
Conception et fabrication
Research subject en
Engineering design
Research subject fr
Conception technique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Research on Key Technologies of a Virtual Reality-based Product Test Platform
Keywords
product design; virtual reality (vr); test platform; user interaction; dynamic planning; product modeling and simulation; knowledge base; machine learning; human-centered decision-making
Application summary
Various customer requirements and design feasibilities have to be effectively tested and evaluated in the early stage of product development to obtain the best chance for the product to eventually meet customer satisfaction. This requires deep knowledge and extensive information on the product design, manufacturing and application. Existing methods of product testing and evaluation lack the capability to cope with the current trend of user expectations for products that are characterized by complexity, connectivity, and diversity. User interactions and product models are not fully integrated in product development and application environments. This proposal will develop a virtual test platform for product evaluation and improvement. The research efforts will focus on key technologies of a virtual product test platform with the following goals: 1) development of intelligent methods using machine learning to reduce dependence of experience for decision-making during product evaluation and improvement; 2) development of a gesture-based interactive method to enable the involvement of product users in product development; and 3) implementation of the virtual test platform and evaluation of its performance by using industrial and consumer products. The proposed research will advance the field of product development by introducing processes that are capable of understanding the intent of product users. This will lead to a self-evolution product design system. This research will make a significant step towards automatic design using machine learning methods to summarize design knowledge and automatically form design rules to guide product development that is independent of human experience. This is a new direction in product development driven by the ever-growing need for product innovation. The proposed research will develop tools for industry and product users to test and explore various product solutions in a controllable computer environment that can provide feasible and tangible solutions for product development. It will also be essential for the next generation of manufacturing systems, which adopts the Internet of Things, Digital Manufacturing capabilities, 3D printing and Big Data analytics in product development.