S2-cam elyaf takviyeli plastiklerin frezelenmesinde çapak oluşumunu en aza indirmek için kesme parametrelerinin deneysel incelenmesi ve optimizasyonu
2024
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Advisor: Dr. Öğr. Üyesi Sinan Kesriklioğlu
Abstract (EN)
Composite materials have a wide range of application areas due to their high mechanical properties, low density and versatility. Milling is an important process for the composite materials to shape them according to the needs of the application area. Burrs are often created during the milling process and result in rejection of parts in the desired usage area. This study focuses on the experimental and statistical analysis of the burrs during the milling process of S2-Glass Fiber Reinforced Plastics (S2-GFRP) and Basalt Fiber Reinforced Plastics (BFRP) composites. Damages occurring during the milling process were analyzed to evaluate the mechanical performance and surface quality of composite materials. Surface quality is determined by the area and length of the burrs that were produced during the milling operations. Optimum processing parameters have been determined to ensure minimum burr area and burr length. It is determined that there are multiple optimum parameters according to the processed material and cutting direction. Burr area and burr length are measured with image analysis. The total area of burrs is calculated, and the longest burr in each sample is measured. The effect of tool material, tool coating, spindle speed and feed rate on burr area and burr length is observed. Based on the experimental results, it was determined that the tool material is the only parameter that consistently affects burr area and bur length. The data obtained aims to ensure the more reliable and efficient use of these materials in engineering applications and makes significant contributions to sustainable production processes.
Author
Dr. Ahmed Çağrı Sayın
Institution
How to Cite
Ahmed Çağrı Sayın (Master Thesis). S2-cam elyaf takviyeli plastiklerin frezelenmesinde çapak oluşumunu en aza indirmek için kesme parametrelerinin deneysel incelenmesi ve optimizasyonu, 2024, Abdullah Gül University.
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