ANALYSIS OF SURFACE QUALITY IN BASE ACRYLIC PLASTIC USING FLAW DETECTION METHOD

Abstract

Before scanning the surface of the base acrylic plastic, ten samples were selected with a surface that had undergone all stages of finishing according to the proper dental protocol and ten samples that had previously been artificially damaged with scratches using sandpaper. This study addresses the assessment of the quality of removable orthopedic appliances concerning surface polishing and detection of microdefects. The research employs a comparative analysis of reference samples of base plastic and artificially damaged samples using flaw detection analysis. Prior to scanning the surface of the base acrylic plastic, ten samples underwent all stages of finishing according to dental protocol, while another ten samples were intentionally damaged with scratches using sandpaper. The macrophotographs obtained were processed using the "Image J" program, allowing for quantitative analysis of images, enabling the evaluation of surface quality through various parameters. This included evaluating the total number of defects, as well as the average area and perimeter of the defects. Statistical analysis conducted in the JUSP program enabled comparison between the two groups of samples, identifying significant quantitative differences. Based on the prominent indicators available in the Image J program, conclusions were drawn regarding the quality of the acrylic plastic surface and the factors influencing its condition through specific mechanical defects. The proposed method of light-optical flaw detection expands the clinical assessment capabilities of removable orthopedic structures (base plastic), particularly concerning potential bacterial contamination, which can serve as a significant factor in the formation of inflammation foci on the mucous membrane of the denture-supporting oral tissues. Flaw detection analysis enables a comprehensive assessment of material surface polishing quality and the detection of surface defects that may arise during production or use, thus preventing biofilm accumulation. The experiment demonstrated the effectiveness of light-optical flaw detection and highlights the potential for its further improvement and broader implementation in clinical practice.