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高端外國專家學術講座
Academic Seminar
College of Mechanical and Automotive Engineering
Shanghai University of Engineering Science
講座題目：工科研究生培養中的三大通用基礎——系統工程、可靠性工程、試驗設計及優化技術
Seminar topic: Three General Foundations in Engineering Graduate Training – Systems Engineering, Reliability Engineering, and DoE & Optimization
講座時間和方式：2022年12月16日，中國北京時間上午8:20-10:00，中文在線講座，騰訊會議号碼：805-970-132
Seminar schedule: 8:20-10:00AM on December 16, 2022 (China Beijing time), online Tencent meeting: 805-970-132
報告人簡介：
辛千凡博士1991年畢業于同濟大學熱能工程本科，後分别于1997年和1999年獲得位于美國聖路易斯市的華盛頓大學機械工程碩士學位和博士學位。曾先後任職于美國納威司達（Navistar）公司和HXK技術公司，主管柴油發動機性能與系統集成的優化分析等工作。兼任昆明理工大學客座教授，曾任國際汽車工程師學會（SAE）商用車動力系及傳動系委員會2012年度主席。著有《Diesel Engine System Design》和《柴油發動機系統設計》兩部專著。
Dr. Qianfan Xin graduated from Tongji University with a B.Sc. degree in Thermal Engineering in 1991, and graduated from Washington University in St. Louis with his M.Sc. degree (1997) and D.Sc. degree (1999) in Mechanical Engineering. He worked at Navistar, Inc. and HXK Technologies, Inc. on optimization analysis of diesel engine performance and system integration in various technical and management positions. He is a Guest Professor at Kunming University of Science and Technology. He was the Chairman of the Powertrain & Drivetrain Committee of the SAE COMVEC in 2012. He is the author of the book “Diesel Engine System Design.”
摘要：
工程設計的終極目标是在滿足系統優化的條件下實現在性能和耐久性等方面的“為可靠性而設計”。目前的工科教育普遍缺乏系統工程、可靠性工程、試驗設計及優化技術的三位一體訓練。系統工程在工程技術中的應用主要體現在系統設計（子系統相互作用）、系統集成、系統動力學及控制（瞬态性能）。可靠性工程使得設計從較為盲目的确定性設計邁向更加科學的概率性設計，使用應力-強度幹涉模型控制失效率。試驗設計及優化技術從确定性優化（如響應曲面方法）和非确定性優化（如蒙特卡羅模拟）這兩方面幫助設計或科研提高工作水平，實現系統的、可靠的、優化的結果。
Abstract:
The ultimate goal of engineering design is to achieve “design for reliability” in performance and durability with system optimization. The integrated training of systems engineering, reliability engineering, and DoE & optimization is generally lacking in engineering education at present. The applications of systems engineering are mainly reflected in system design (subsystem interaction), system integration, system dynamics and controls (transient performance). Reliability engineering improves design quality from deterministic design to probabilistic design, using the stress–strength interference model to control the failure rate. Design of Experiments (DoE) and optimization techniques help design and scientific research to improve work quality in two aspects: deterministic optimization (e.g., response surface method) and non-deterministic optimization (e.g., Monte Carlo simulation), so as to achieve systematic, reliable, and optimized results.
