Adaptive control system used with machining parameter optimization for real-time simulation and forecasting of machined outputs as well as maintaining physical process, has digital twin design and deployment for recreating and forecasting machining result and tool reaction
	PALANIVENDHAN M; GURUPRAKASH K S; KARTHIKEYAN S; MUTHUSAMY S; NARAYANAN S; SRINIVASAN P; THIRUMALAI R
	2025-03-22
专利权人	PALANIVENDHAN M (PALA-Individual) ; GURUPRAKASH K S (GURU-Individual) ; KARTHIKEYAN S (KART-Individual) ; MUTHUSAMY S (MUTH-Individual) ; NARAYANAN S (NARA-Individual) ; SRINIVASAN P (SRIN-Individual) ; THIRUMALAI R (THIR-Individual) ; MOHANRAJ (MOHA-Individual)
申请日期	2025-03-22
专利号	IN202541026567-A
成果简介	NOVELTY - The system has a machine learning-based predictive engine taking history and real-time inputs and proposing optimal cutting parameters to realize maximum surface finish as well as minimum machining time. A digital twin design and deployment for simulatively recreating and forecasting machining result and tool reaction for different machining situations in real time. An edge computing device is placed that calculates important machining data locally to minimize latency and enable real time adjustment. The edge computing facilitates instant decision-making and reactant real time feedback as compared to cloud-only deployment. The sophisticated artificial intelligence (AI) model predicts and extends tool life by optimal machining conditions prior to tool failure or abnormal wear. USE - Adaptive control system used with machining parameter optimization for real-time simulation and forecasting of machined outputs as well as maintaining the physical process in its optimum performance regime. ADVANTAGE - The system combines digital twin technology, machine learning-optimized optimization, and real-time data harvesting to enhance speed and accuracy of subtractive manufacturing processes. The system optimizes traditional manufacturing by modifying parameters in real time during machining dynamically with artificial intelligence forecasting and real time sensor data, thus enhancing accuracy, efficiency, and productivity.
IPC 分类号	B23B-029/12 ; B23Q-011/10 ; B23Q-017/09 ; G05B-019/4065 ; G05B-019/416
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13564
专题	中国科学院新疆生态与地理研究所
作者单位	1.PALANIVENDHAN M (PALA-Individual) 2.GURUPRAKASH K S (GURU-Individual) 3.KARTHIKEYAN S (KART-Individual) 4.MUTHUSAMY S (MUTH-Individual) 5.NARAYANAN S (NARA-Individual) 6.SRINIVASAN P (SRIN-Individual) 7.THIRUMALAI R (THIR-Individual) 8.MOHANRAJ (MOHA-Individual)
推荐引用方式 GB/T 7714	PALANIVENDHAN M,GURUPRAKASH K S,KARTHIKEYAN S,et al. Adaptive control system used with machining parameter optimization for real-time simulation and forecasting of machined outputs as well as maintaining physical process, has digital twin design and deployment for recreating and forecasting machining result and tool reaction. IN202541026567-A[P]. 2025.

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