finish machining
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2021 ◽  
Author(s):  
Kevin C. Sala ◽  
Amy Hernandez ◽  
Ryan Gordon ◽  
Lesley D. Frame

Abstract Vacuum carburizing of 9310 gear steel followed by austenitizing, oil quench, cryogenic treatment, and tempering is known to impact residual stress state of the steel. Residual stress magnitude and depth distribution can have adverse effects on part distortion during intermediary and finish machining steps. The present research provides residual stress measurement, microstructural, and mechanical property data for samples taken along a specific heat treat sequence. Test rings of AISI 9310 steel are subjected to a representative gear manufacturing sequence that includes normalizing, rough machining, vacuum carburizing to 0.03”, austenitizing, quench, cryo-treatment, temper, and finish machining. Characterization of a test ring and a metallurgical sample after each manufacturing step allows tracking of residual stress and microstructural changes along the sequence. The results presented here are particularly interesting because the highest compressive residual stresses appear after removal of copper masking, not after quench as expected. Data can be used for future ICME models of the heat treat and subsequent machining steps. Analytical methods include X-Ray Diffraction, optical and electron microscopies, mechanical testing, and hardness testing.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emre Tascioglu ◽  
Hamaid Mahmood Khan ◽  
Yusuf Kaynak ◽  
Mert Coşkun ◽  
Gurkan Tarakci ◽  
...  

Purpose The present study aims to investigate the effect of finish machining and aging processes on the surface integrity of the selective laser melted (SLM) maraging steel samples and compared them with those obtained conventionally. Design/methodology/approach Finish machining and aging were applied on the SLM and wrought maraging samples to investigate and compare their microstructural and mechanical properties such as surface roughness, microhardness and wear resistance. Findings After applying aging and finish machining treatments, the surface roughness <1 µm, microhardness (542Hv) and wear resistance (COF 0.578) of SLM samples were similar to their wrought counterparts. Compared to finish machining, the effect of aging was more significant on the microhardness and the wear resistance, regardless of sample type. Originality/value The knowledge of post-processing is essential to enhance the functional performance of the SLM samples. Aging and finish machining were applied for the first time to evaluate the surface integrity of the SLM prepared maraging steel and compared it with the wrought samples.


2021 ◽  
Vol 147 ◽  
pp. 106169
Author(s):  
Thomas Childerhouse ◽  
Everth Hernández-Nava ◽  
Nikolaos Tapoglou ◽  
Rachid M’Saoubi ◽  
Luiz Franca ◽  
...  

Author(s):  
Julius Schoop ◽  
Hasan A. Poonawala ◽  
David Adeniji ◽  
Benton Clark

2021 ◽  
Vol 405 ◽  
pp. 126731
Author(s):  
Hendrik Liborius ◽  
Thomas Grund ◽  
Andreas Nestler ◽  
Gerd Paczkowski ◽  
Andreas Schubert ◽  
...  

2020 ◽  
Vol 4 (3) ◽  
pp. 63 ◽  
Author(s):  
Ian Brown ◽  
Julius Schoop

In this work, a geometric model for surface generation of finish machining was developed in MATLAB, and subsequently verified by experimental surface roughness data gathered from turning tests in Ti-6Al4V. The present model predicts the behavior of surface roughness at multiple length scales, depending on feed, nose radius, tool edge radius, machine tool error, and material-dependent parameters—in particular, the minimum effective rake angle. Experimental tests were conducted on a commercial lathe with slightly modified conventional tooling to provide relevant results. Additionally, the model-predicted roughness was compared against pedigreed surface roughness data from previous efforts that included materials 51CrV4 and AL 1075. Previously obscure machine tool error effects have been identified and can be modeled within the proposed framework. Preliminary findings of the model’s relevance to subsurface properties have also been presented. The proposed model has been shown to accurately predict roughness values for both long and short surface roughness evaluation lengths, which implies its utility not only as a surface roughness prediction tool, but as a basis for understanding three-dimensional surface generation in ductile-machining materials, and the properties derived therefrom.


Author(s):  
I A Vorobiev ◽  
V A Belyakova ◽  
M V Ushakov
Keyword(s):  

2020 ◽  
Vol 24 (4) ◽  
pp. 621-637
Author(s):  
Shen Niu ◽  
Ningsong Qu ◽  
Xiaokang Yue ◽  
Gangqiang Liu ◽  
Hansong Li
Keyword(s):  

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