報告時(shí)間：2020年11月7日(周六)10:00-11:30

報告地點(diǎn)：ZOOM Online（集中觀(guān)看地點(diǎn)為機械館J2）

報告人：Qingjin Peng

報告人簡(jiǎn)介：

彭教授是加拿大曼尼托巴大學(xué)終身教授。研究領(lǐng)域包括產(chǎn)品智能設計和虛擬制造系統，長(cháng)期致力于開(kāi)放式架構的個(gè)性化產(chǎn)品設計，虛擬現實(shí)技術(shù)支持的產(chǎn)品設計和評價(jià)系統，工程系統的建模和優(yōu)化，產(chǎn)品和制造系統的可持續發(fā)展技術(shù)等領(lǐng)域的研究，取得了一系列原創(chuàng )性成果。彭教授提出和發(fā)展了將操作工具的可接近性分析用于動(dòng)態(tài)制造環(huán)境下產(chǎn)品裝配和選擇性拆卸過(guò)程。從而改進(jìn)了傳統的產(chǎn)品裝拆和夾具設計方法和產(chǎn)品生命周期管理方式。將基于圖象的三維建模方法用于虛擬環(huán)境的構建和真實(shí)物體的反求。提出和發(fā)展了基于虛擬現實(shí)技術(shù)的產(chǎn)品測試工具平臺和開(kāi)放式架構產(chǎn)品設計方法并將其應用到個(gè)性化產(chǎn)品設計和制造,工業(yè)生產(chǎn)設備，康復器械,醫療系統和組織工程中。作為負責人獲得并主持多項加拿大科研基金和工業(yè)發(fā)展項目,已發(fā)表國際期刊和國際會(huì )議論文200多篇。

報告內容簡(jiǎn)介：

A successful product in the market has to meet customer requirements. Product personalization is the trend of product innovation in the reaction to user needs. It is urgent to have effective methods of design for product personalization. In this talk, following key methods will be introduced for development of personalized products to meet individual user needs in the product lifespan.

1). Introducing open architecture:Product architecture is an interactive pattern of functional modules in the product to form a technical system, which allows components of a product to interact and correlate with each other to perform expected functions. Using open concept in the product architecture can form a bridge to link product developers and users forthe product personalization.

2). Knowing user need: it is key in design for personalized product to know the user need. The product success in the market depends on its satisfaction to the user preference. Effective methods are required to collect and analyze data to know the user preference for product design.

3). Improving interaction of users and product: the best practice to know user needs is to involve the user in the product development. It is important to improve interactions between the way of users to use the product and the way of designers to respond to the users. Virtual reality and motion sensors are introduced to develop user interfaces for users to interact with product in the product design and evaluation.

4). Using AI-based decision-making: Artificial intelligent agent and machine learning methods provide key techniques to know user needs and to form design solutions based on the needs and available resources.

Examples will be presented for applications of these methods. Conclusions and perspectives will also be discussed.

*本報告由燕山大學(xué)引才引智國際合作培育項目資助。

機械工程學(xué)院

2020年11月3日