Di pekerjaan ini, pembelajaran mengenai efek kekasaran permukaan (Ra) terhadap umur kelelahan perpaduan Aluminum 7075-T6 dilakukan. Berdasarkan pekerjaan sebelumnya, umur kelelahan adalah fungsi dari kekasaran permukaan material/spesimen. Semakin kasar permukaan spesimen, semakin menurun umur kelelahannya. Sebaliknya, semakin halus permukaan specimen maka umur kelelahannya meningkat. Dalam kasus ini, kekasaran (Ra) hanya didapat dari proses machining. Selanjutnya, dibuatlah suatu faktor koreksi yang merupakan perbandingan dari umur kelelahan specimen dengan nilai Ra tertentu terhadap umur kelelahan specimen ideal. Kemudian, digambarkan sebuah kurva nilai faktor koreksi sebagai fungsi dari Ra. Simulasi keausan dengan menggunakan perangkat lunak komersil telah dilakukan untuk memprediksi umur kelelahan pada kondisi ideal. Kemudian, umur kelelahan untuk spesimen dengen berbagai kondisi kekasaran dapat diestimasi dengan factor koreksi yang didapat dari atas. Dapat disimpulkan bahwa kurva yang menunjukan hubungan Ra dengan faktor koreksi dapat digunakan untuk memprediksi umur kelelahan secara efisien saat simulasi.
In this work, the effect of surface roughness to the fatigue life of 7075-T6 Aluminum Alloy were studied. The objective is to estimate values of surface factor correction of 7075-T6 Aluminum Alloy and its fatigue life using the obtained correction factors. Based on previous research, a function of fatigue life in terms of surface roughness were obtained. As the surface roughness increases, fatigue life decreases and vice versa. In this case, the Ra value were obtained from machining process only. First, an estimated surface factor correction was obtained as the fatigue limit ratio of specimen with certain Ra value to specimen having ideal surface condition. Then, a function of surface factor correction in terms of Ra were generated. After that, a fatigue simulation was conducted using commercial software to predict fatigue life at the ideal surface condition. Finally, fatigue life for various value of Ra can be estimated using the correction factors obtained. It was concluded that the function of surface factor correction in terms of Ra was applicable to estimate the fatigue life efficiently during simulation.
"Aseptic loosening and infection are the two major causes for premature orthopedic implant failure. One of the strategies to prevent both scenarios is by modifying surface of orthopedic implant. The surface should have minimum surface roughness with nano topography. Plasma electrolytic polishing is a finishing process known for its ability to provide highly smooth and glossy surface. The two variables are electrolyte composition and polishing time. Surface roughness is measured using surfcom roughness contouring detector and surface topography is observed using SEM. The result of surface roughness measurement shows lowest and highest surface roughness are at 0,0889 µm and 0,6281 µm. SEM observation shows crater-like nanostructure with pits and ridges with electrolyte comprised of H3PO4, NaClO4, and HF meanwhile nanotructures of pits on top of smooth surface is available with electrolyte comprised of ethylene glycol and NH4F and electrolyte comprised of NaCl. The increase of polishing time shows smoothing effects on orthopedic implant surfaces especially on 90 and 120 s. Increase in hardness of polished samples indicates the presence of oxide layer in the surface. Polished samples are free from remainder of electrolyte therefore preventing possibility of allergic reaction or contamination of substance that is toxic for the body."