: Exploring Minimum Quantity Lubrication (MQL) techniques to reduce environmental impact during high-speed machining.
: While his primary focus is mechanical engineering, his name appears in collaborative research environments, such as the International Journal of Thermofluids , contributing to discussions on fluid dynamics and thermal radiation. Regional Impact RifatSiddiquePial
Rifat Siddique's academic profile highlights a strong focus on optimizing industrial processes through modern computational tools. Key areas of his research include: : Exploring Minimum Quantity Lubrication (MQL) techniques to
: 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. Key areas of his research include: : Investigating
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.
: 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.