Machining of Spherical Component Fabricated by Selected Laser Melting: Strategies and Equipment

TL;DR

This paper explores the machining of laser-printed spherical biomaterial components, focusing on optimizing conditions for surface quality, mechanical properties, and the integration of AI for process modeling.

Contribution

It introduces a comprehensive analysis of machining strategies for SLM-fabricated biomaterials, including AI-based modeling and heat treatment effects.

Findings

Optimized machining conditions improve surface quality.

Heat treatment enhances mechanical properties.

AI models help predict tool deflection and process outcomes.

Abstract

The machining process is the most common method for metal cutting, and especially in the finishing of machined parts. In modern industry the goal of production is to manufacture products at a low cost, with high quality in the shortest time. In this research different biomaterials, machinability properties, surface characteristics, cutting tools, cutting fluids and machining conditions for biomaterials with machinability capability are reviewed. In the first step prosthetic acetabular (PA) hip is designed and printed by using selective laser melting (SLM) process then current limitations on fabrication are analyzed to optimize production process and obtain samples with higher quality. The feasibility of artificial intelligence (AI) in machining is determined and In order to calculate dimensional deviation the effect of tool path on tool deflection is modelled. The main focus of this research is determining the machining conditions on surface quality and osseointegration, work hardening and force analyzing of PA. Also the effect of heat treatment on machinability and mechanical properties of produced parts is determined.