5Intelligent Machining
Jasvinder Singh1,2*, Chandan Deep Singh1 and Dharmpal Deepak1
1Punjabi University, Patiala, India
2Lovely Professional University, Phagwara, Punjab, India
Abstract
Manufacturing industries are constantly forced by market demands to produce low-cost, high-quality products. Market demands are complex and variable, especially in fast-paced industrial environments. Traditional manufacturing procedures are being compelled to create and adapt innovative practices and methods in order to meet increasing market demands. However, as manufacturing technology advances, so does the need to put it into practice in a timely and cost-effective manner. A combination of old production tools and modern technologies, either hardware or software, that transforms traditional manufacturing into intelligent manufacturing is the result of this urgent demand. Intelligent manufacturing systems combine optimization approaches with sensor-based control systems to create complex systems. These intelligent and optimized systems can produce high-quality items at a lesser cost and at a faster rate. New advancements in machining have been possible by latest developments in information and communications technologies, particularly artificial intelligence. Modern machining systems are very sophisticated and automated, but their performance is mostly dependent on the operators’ knowledge, which is based on a combination of theory and experience. With the integration of simulation, sensing, ...
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