Production systems have to meet quality requirements despite increasing product individuality, varying batch sizes and a scarcity of resources. The transfer experience-based knowledge in flexible self-optimizing production process planning offers the potential these challenges. Biological solve conceptually similar challenges pertaining knowledge, flexibility individual reactions adaptation ove...

in the present paper, we develop a modified pseudospectral scheme for solving an optimal control problem which is governed by a switched dynamical system. many real-world processes such as chemical processes, automotive systems and manufacturing processes can be modeled as such systems. for this purpose, we replace the problem with an alternative optimal control problem in which the switching t...

the optimum fermentation times of black tea manufactured by two systems of orthodox and ctc (cut, tear & curl) were investigated by measuring the quality parameters of black tea, like: theaflavin, thearubigin, highly  polymerized substances and total liquid colour during the fermentation stage. optimum fermentation times from the beginning of fermentation were determined to be 60 min and 15...

This research studied using curvature and support vector machines (SVMs) to identify manufacturing processes of mechanical parts. Prior developments in computer vision and graphics has been able to recognize shapes of 2D and 3D models. This work contributes a technique for recognizing manufacturing processes from CAD models. Prismatic machined and cast-then-machined are two typical processes fo...

Additive manufacturing (AM) has drawn tremendous attention in various fields. In recent years, great efforts have been made to develop novel additive manufacturing processes such as micro-/nano-scale 3D printing, bioprinting, and 4D printing for the fabrication of complex 3D structures with high resolution, living components, and multimaterials. The development of advanced functional materials ...

A manufacturing process cannot be released to production until it has been proven to be stable. Also, we cannot begin to talk about process capability until we have demonstrated stability in our process. This means that the process variation is the result of random causes only and all assignable or special causes have been removed. In complicated manufacturing processes, such as drilling proces...

In recent years, artificial neural networks have been applied to solve a variety of problems in numerous areas of manufacturing at both system and process levels. The manufacturing applications of neural networks comprise the design of manufacturing systems (including part-family and machine-cell formation for cellular manufacturing systems); modeling, planning, and scheduling of manufacturing ...