Despite of the acceleration of investments and the expansion of countries towards the Industry 4.0, companies have difficulties in planning the transition processes and implementation of the scenarios of Industry 4....Despite of the acceleration of investments and the expansion of countries towards the Industry 4.0, companies have difficulties in planning the transition processes and implementation of the scenarios of Industry 4.0. To benefit from the Industry Approach 4.0, it is necessary to take technological and organizational transition processes into account, since the phenomenon involves interoperability between humans; between humans and machines; and between machines and production. This paper proposes to examine the transformation processes of the current industrial model to the Industry 4.0 model of FESTO AG, in addition to the framework proposition for the analysis of transformation processes for Industry 4.0. Through the face-to-face interviews and the institutional materials of FESTO, it was observed that the company inserted in its strategy of products and innovation the concept of Industry 4.0. To do so, FESTO planned and built a new production plant based on connectivity, sustainability, and collaborative environment, especially between man and machine. To support this orientation, FESTO has strengthened its technological base, culture, training of its productive, commercial, and management teams.展开更多
Green design and manufacturing is a proactive approach to minimize wastes during a product’s design stage, thus preventing future environmental impacts. Current modular design method mainly focuses on product functio...Green design and manufacturing is a proactive approach to minimize wastes during a product’s design stage, thus preventing future environmental impacts. Current modular design method mainly focuses on product functional and manufacturing issues. In this paper, a theoretical scheme of multi-objective modularity analysis for discrete electromechanical product design was proposed. Product physical architecture was represented by a fuzzy graph, where fuzzy relationships contain environmental objectives and influence module formulation. Finally the optimal product modules combining all objectives can be searched by clustering algorithm.展开更多
We associate a variety of innovations with the term ＂Industry 4.0＂. The pioneer of many 4.0 modifications forms the basisfor the trend towards the integrated digitization of many areas of life. The field of research...We associate a variety of innovations with the term ＂Industry 4.0＂. The pioneer of many 4.0 modifications forms the basisfor the trend towards the integrated digitization of many areas of life. The field of research requires from the pilot plants to developnew pioneering fibers high flexibility of its experimental facilities to allow new insights in the laboratory and prototype facilities at areasonable cost. Added to this is the desire to closely track all process data and prepare it in a timely manner. Mobile devices nowallow the researcher to vary parameters close to the process during observation. In the following lecture the question will bediscussed which of the many definitions and varieties of ＂Industry 4.0＂ can be meaningfully transferred to the field of research. Indoing so, we are guided by the findings that have been gained with modularized spinning systems in recent years. The respectivespinning processes require different analysis focuses and different conversion options. The digital world must follow the realdemands of the analog world. In addition to the elegance functions, it must be ensured that the control functions of the process meetthe requirements of machine safety. Digitization allows intelligent analyzes to be developed independently of the various spinningprocesses and can be flexibly adapted to the respective process conditions. The variability of spin systems depends on the intelligentmodularization of individual functions and the physics that require the spinning conditions. Finally, some examples of modularprototype systems are presented, and the limits of variability are discussed.展开更多
Modern manufacturing aims to reduce downtime and track process anomalies to make profitable business decisions.This ideology is strengthened by Industry 4.0,which aims to continuously monitor high-value manufacturing ...Modern manufacturing aims to reduce downtime and track process anomalies to make profitable business decisions.This ideology is strengthened by Industry 4.0,which aims to continuously monitor high-value manufacturing assets.This article builds upon the Industry 4.0 concept to improve the efficiency of manufacturing systems.The major contribution is a framework for continuous monitoring and feedback-based control in the friction stir welding(FSW)process.It consists of a CNC manufacturing machine,sensors,edge,cloud systems,and deep neural networks,all working cohesively in real time.The edge device,located near the FSW machine,consists of a neural network that receives sensory information and predicts weld quality in real time.It addresses time-critical manufacturing decisions.Cloud receives the sensory data if weld quality is poor,and a second neural network predicts the new set of welding parameters that are sent as feedback to the welding machine.Several experiments are conducted for training the neural networks.The framework successfully tracks process quality and improves the welding by controlling it in real time.The system enables faster monitoring and control achieved in less than 1 s.The framework is validated through several experiments.展开更多
文摘Despite of the acceleration of investments and the expansion of countries towards the Industry 4.0, companies have difficulties in planning the transition processes and implementation of the scenarios of Industry 4.0. To benefit from the Industry Approach 4.0, it is necessary to take technological and organizational transition processes into account, since the phenomenon involves interoperability between humans; between humans and machines; and between machines and production. This paper proposes to examine the transformation processes of the current industrial model to the Industry 4.0 model of FESTO AG, in addition to the framework proposition for the analysis of transformation processes for Industry 4.0. Through the face-to-face interviews and the institutional materials of FESTO, it was observed that the company inserted in its strategy of products and innovation the concept of Industry 4.0. To do so, FESTO planned and built a new production plant based on connectivity, sustainability, and collaborative environment, especially between man and machine. To support this orientation, FESTO has strengthened its technological base, culture, training of its productive, commercial, and management teams.
基金National Natural Science Foundation ofChina (No.50375086)
文摘Green design and manufacturing is a proactive approach to minimize wastes during a product’s design stage, thus preventing future environmental impacts. Current modular design method mainly focuses on product functional and manufacturing issues. In this paper, a theoretical scheme of multi-objective modularity analysis for discrete electromechanical product design was proposed. Product physical architecture was represented by a fuzzy graph, where fuzzy relationships contain environmental objectives and influence module formulation. Finally the optimal product modules combining all objectives can be searched by clustering algorithm.
文摘We associate a variety of innovations with the term ＂Industry 4.0＂. The pioneer of many 4.0 modifications forms the basisfor the trend towards the integrated digitization of many areas of life. The field of research requires from the pilot plants to developnew pioneering fibers high flexibility of its experimental facilities to allow new insights in the laboratory and prototype facilities at areasonable cost. Added to this is the desire to closely track all process data and prepare it in a timely manner. Mobile devices nowallow the researcher to vary parameters close to the process during observation. In the following lecture the question will bediscussed which of the many definitions and varieties of ＂Industry 4.0＂ can be meaningfully transferred to the field of research. Indoing so, we are guided by the findings that have been gained with modularized spinning systems in recent years. The respectivespinning processes require different analysis focuses and different conversion options. The digital world must follow the realdemands of the analog world. In addition to the elegance functions, it must be ensured that the control functions of the process meetthe requirements of machine safety. Digitization allows intelligent analyzes to be developed independently of the various spinningprocesses and can be flexibly adapted to the respective process conditions. The variability of spin systems depends on the intelligentmodularization of individual functions and the physics that require the spinning conditions. Finally, some examples of modularprototype systems are presented, and the limits of variability are discussed.
文摘Modern manufacturing aims to reduce downtime and track process anomalies to make profitable business decisions.This ideology is strengthened by Industry 4.0,which aims to continuously monitor high-value manufacturing assets.This article builds upon the Industry 4.0 concept to improve the efficiency of manufacturing systems.The major contribution is a framework for continuous monitoring and feedback-based control in the friction stir welding(FSW)process.It consists of a CNC manufacturing machine,sensors,edge,cloud systems,and deep neural networks,all working cohesively in real time.The edge device,located near the FSW machine,consists of a neural network that receives sensory information and predicts weld quality in real time.It addresses time-critical manufacturing decisions.Cloud receives the sensory data if weld quality is poor,and a second neural network predicts the new set of welding parameters that are sent as feedback to the welding machine.Several experiments are conducted for training the neural networks.The framework successfully tracks process quality and improves the welding by controlling it in real time.The system enables faster monitoring and control achieved in less than 1 s.The framework is validated through several experiments.
