Rifatsiddiquepial ◎

: Investigating surface roughness and cutting temperatures in precision turning. For instance, his work on ResearchGate details experimental studies on turning SiC-Al Alloy composites and AISI 1040 steel.

Rifat Siddique's academic profile highlights a strong focus on optimizing industrial processes through modern computational tools. Key areas of his research include: RifatSiddiquePial

: Utilizing Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to develop models that predict tool wear and material performance under various cutting conditions. Key areas of his research include: : Utilizing

Siddique's research often addresses specific industrial and environmental challenges within South Asia. His collaborative efforts, sometimes cited alongside environmental studies like those in the Indus Journal of Bioscience Research , reflect an interest in how engineering practices intersect with broader ecological and socio-economic goals, such as carbon sequestration and agricultural resilience. : Exploring Minimum Quantity Lubrication (MQL) techniques to

: Exploring Minimum Quantity Lubrication (MQL) techniques to reduce environmental impact during high-speed machining.