Production engineering

About: Production engineering is a research topic. Over the lifetime, 2657 publications have been published within this topic receiving 37409 citations.

Machine intelligence for adaptable closed loop and open loop production engineering systems

Abstract: This thesis investigates the application of machine learning algorithms for industrial production processes. First, the PID controller as an already existing closed loop control approach is improved. For this purpose, a neural network tunes the PID parameters, while the process is running. Second, a new architecture, consisting of several machine learning algorithms, is introduced for industrial laser welding. Following this approach, the control can be changed from open to closed loop.

Intelligent production metrology— A powerful tool for intelligent manufacturing

Abstract: The application of AI- and CA-technologies also puts appropriate demands on production metrology in modern industrial environment. A sophisticated measurement technique can be considered as most crucial requirement for the production of industrial goods of high quality. Since about 1970 we see a continued increase in importance of computer aided co-ordinate metrology as a means to control industrial production. At the same time the basic definitions governing design, production and quality control of workpieces have undergone considerable advances with the goal of international harmonisation and standardisation.

Multidisciplinary Design Optimization in Engineering

Abstract: 1 Department of Engineering, Indiana University-Purdue University Fort Wayne, 2101 East Coliseum Boulevard, Fort Wayne, IN 46805-149, USA 2Department of Production Engineering, KTH Royal Institute of Technology, Brinellvagen 68, 100 44 Stockholm, Sweden 3 School of Management, Harbin Institute of Technology, Harbin 150001, China 4Mechatronics Group, Singapore Institute of Manufacturing Technology, 71 Nanyang Drive, Singapore 638075 5 Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, 2000 Simcoe Street, ON, Canada L1H 7K4

Pollution prevention: a new paradigm for engineering education

Abstract: It is estimated that our materials-dominated society consumes about 10 metric tons of raw materials per person per year in the production of consumer goods. Within 6 months of extraction or production of these materials, 94% of them become waste. More efficient manufacturing practices are needed to lessen the demands for raw materials and to reduce the amounts and toxicity of waste materials. It is estimated that 70% of this waste material could be eliminated through better design decisions and reuse of materials. Engineering education has evolved into fairly segregated disciplines which focus on narrowly defined design and manufacturing functions, often without consideration of the environmental consequences of these functions. This is no longer the case in industry, however, where pollution prevention and waste minimization have become very important. Unfortunately, most of our engineering graduates are not prepared to step into a role where “green engineering” principles are espoused. We must quickly incorporate the “green engineering” principles into the engineering curriculum in all disciplines to ensure that all engineering graduates understand the environmental and economic consequences of engineering decisions. This paper describes methods that can be used to introduce the principles of pollution prevention, environmentally conscious products, processes and manufacturing systems. Students will learn the impacts of wastes from manufacturing and post-use product disposal, environmental cycles of materials, sustainability, and principles of environmental economics. Materials selection, process and product design, and packaging are also addressed.

System of Systems Architecture Framework (SoSAF) for production industries

Abstract: Streamlining of System of Systems (SoS) concepts by contemporary researchers have marked an epoch in the development of cross domain postmodern technologies. This demands us to reflect for a moment, and refine and mature SoS concepts and principles on universal grounds independent of any field (i.e., military). This paper spotlights the necessity of a generic System of Systems Architecture Framework (SoSAF). It also applies the SoS concepts in the Production system field just using the SoSAF paradigm for introducing a unique architecture for production SoS. In this regard, the designing process for Production SoS has been elaborated in three phases. The first phase identifies the production scenarios, the second phase explains analysis and selection of production strategies, and the third phase constructs an innovative Production SoSAF.