MASTER PROMPT: Surface Roughness Prediction and Cutting Force Analysis in CNC Machining

The Researcher's Prompt Guide to CNC Machining Research

Artificial Intelligence (AI) is rapidly changing the way researchers search for information, organize knowledge, analyze literature, structure scientific arguments, and prepare academic manuscripts. For postgraduate students and researchers, AI can significantly reduce the time required to transform extensive research materials into a structured first draft of a conference paper or journal manuscript.

However, producing a high-quality scientific manuscript requires considerably more than asking an AI platform to “write a research paper.”

AI must understand the research problem, objectives, experimental methodology, materials, machining parameters, measurements, results, statistical evidence, physical mechanisms, limitations, and scientific contributions of the study. It must also distinguish between information that is genuinely supported by the research and information that is merely possible or commonly reported in the literature.

Without appropriate instructions, AI may generate technically convincing content that does not accurately represent the research that was actually conducted.

This book addresses that problem through a structured Master Prompt approach specifically developed for CNC machining research.