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Microstructure and mechanical properties of hot-rolled strips are directly influenced by coiling temperature, and feedback control is one of the most significant approaches to improve coiling temperature control precision. Laminar cooling control system was introduced, and the novel feedback control algorithm based on proportional–integral controll...
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During selective laser melting (SLM) process, high cooling rate and large temperature gradient result in residual stress and serious distortion, which seriously affect mechanical properties and dimensional accuracy of the final part. Rescanning strategy is recently proposed to reduce the stress and distortion during SLM process. However, the method...
Citations
Maximum manufacturing operations in automotive industries are none the less largely dependent on experience-based human choices. The emergence of huge information, alongside gadget learning in automotive organizations, is leading to an increased degree of accuracy in choice making and advanced overall performance. It is pointless to mention that the automotive industry is getting ready for a revolution. The car is getting transformed by means of technologies. AI and system learning algorithms have found a growing degree of applicability in this industry. In this chapter, the authors have analyzed and study about how machine learning has been used for automobiles. Here they discussed autonomous vehicle test and development. In this chapter, they analyzed country-wise interest in autonomous cars and driverless cars. Motion planning, path planning, legal issues, and various applications related to machine learning for autonomous vehicles have been discussed in this chapter.
