Developing an Analytical Model and Computing Tool for Optimizing Lapping Operations of Flat Objects Made of Alloyed...

Area of Science:

• Manufacturing Engineering
• Materials Science

Background:

• Lapping is a crucial finishing process for reducing surface roughness using abrasive slurry.
• Current lapping operations require manual setting of parameters based on material properties and desired outcomes.
• A lack of predictive models hinders optimization and systematization of lapping processes.

Purpose of the Study:

• To develop a mathematical model that links lapping conditions, material properties, and surface roughness.
• To create an optimization system for lapping operations based on the developed mathematical model.
• To demonstrate the system's effectiveness through a practical case study.

Main Methods:

• Development of a novel mathematical model to describe the relationships between key lapping variables.
• Implementation of a computational system derived from the mathematical model.
• Validation of the system's efficacy via a case study involving specific lapping scenarios.

Main Results:

• A validated mathematical model accurately describes the interdependencies within the lapping process.
• A functional optimization system for lapping operations has been successfully developed.
• The case study confirmed the system's capability to guide lapping parameter selection.

Conclusions:

• The developed mathematical model and system provide a scientific basis for optimizing lapping operations.
• This work addresses the long-standing challenge of systematizing lapping for industrial applications.
• The findings facilitate more efficient and predictable surface finishing through advanced lapping control.