Z. Kasirolvalad
Papers
1
Total Citations
15
H-Index
1
About
Z. Kasirolvalad is a researcher in intelligent manufacturing systems, with a primary focus on improving machining process quality in computer numerical control (CNC) machine tools. Their most notable contribution is the development of an adaptive fuzzy Petri net modeling system, which enhances real-time decision-making and process control in automated machining environments. This work, published in 2006, has garnered 15 citations, reflecting its influence in the field of intelligent modeling and manufacturing optimization. Kasirolvalad’s research integrates artificial intelligence, fuzzy logic, and Petri net theory to address complex challenges in precision engineering, offering a robust framework for adaptive process monitoring and fault diagnosis. Their contributions are particularly valuable for advancing smart manufacturing and Industry 4.0 applications, where adaptive systems are critical for efficiency and quality. By bridging theoretical modeling with practical machining applications, Kasirolvalad has provided a foundation for further innovations in intelligent automation, making their work a reference point for researchers and engineers seeking to enhance CNC process reliability and performance.
Research Focus
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Top Papers
- 1