This paper focuses on studying how mineral oil, sunflower, soybean, and corn lubricants influence friction and wear effects during the manufacturing of aluminum parts via the single point incremental forming (SPIF) process. To identify how friction, surface roughness, and wear change during the SPIF of aluminum parts, Stribeck curves were plotted as a function of the SPIF process parameters such as vertical step size, wall angle, and tool tip semi-spherical diameter. Furthermore, lubricant effects on the surface of the formed parts are examined by energy dispersive spectroscopy (EDS) and scanning electron microscope (SEM) images, the Alicona optical 3D measurement system, and Fourier-transform infrared spectroscopy (FTIR). Results show that during the SPIF process of the metallic specimens, soybean and corn oils attained the highest friction, along forces, roughness, and wear values. Based on the surface roughness measurements, it can be observed that soybean oil produces the worst surface roughness finish in the direction perpendicular to the tool passes (Ra =1.45 μm) considering a vertical step size of 0.25 mm with a 5 mm tool tip diameter. These findings are confirmed through plotting SPIFed Stribeck curves for the soybean and corn oils that show small hydrodynamic span regime changes for an increasing sample step-size forming process. This article elucidates the effects caused by mineral and vegetable oils on the surface of aluminum parts produced as a function of Single Point Incremental Sheet Forming process parameters
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Acknowledgments: The authors are thankful for the financial support from Tecnológico de Monterrey-Campus Monterrey through the Research Group in Nanotechnology and Devices Design. We also would like to thank Nicolás Ulloa-Castillo for collecting the sample roughness experimental data.
Funding: This research was funded by the Consejo Nacional de Ciencia y Tecnología de México (CONACYT) through project numbers 242269, 255837, 296176, and through the National Lab in Additive Manufacturing, 3D Digitizing and Computed Tomography (MADiT) LN299129 and FORDECYT-296176.
This research was funded by the Consejo Nacional de Ciencia y Tecnolog?a de M?xico (CONACYT) through project numbers 242269, 255837, 296176, and through the National Lab in Additive Manufacturing, 3D Digitizing and Computed Tomography (MADiT) LN299129 and FORDECYT-296176.
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All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Condensed Matter Physics