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A Novel Iterative Field Search Approach to Minimum Zone Circle for Roundness Error Estimation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Roundness is one of the common attributes in the manufacturing industry. Roundness is the most prominent of the extant fundamental forms, as the majority of the fabricated components are round or cylindrical. The examination ...
A Digital Twin for Grinding Wheel: An Information Sharing Platform for Sustainable Grinding Process
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Emerging re-industrialization demands the fusion of the physical and the digital world for the development of sustainable manufacturing processes. Sustainability in manufacturing aims at improving the resource productivity ...
Effect of Graphene Nanoplatelets Reinforcement on Grindability of Zirconium Diboride Ceramics
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The effect of graphene nanoplatelets (GNPS) on the grindability of GNP reinforced ZrB2 was studied using a resin bonded diamond grinding wheel under dry and wet conditions. A comparative study of grinding forces was performed ...
Micromechanical and Tribological Characterization of Fabricated Ti–6Al–4V Alloy Using Laser Powder Bed Fusion
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the dynamic era of advanced manufacturing technology, laser powder bed fusion (L-PBF) have gained popularity in different domains due to its capability to build parts from bulk to miniature size with higher efficiency ...
Quantification of Surface Roughness Using Fringe Projection Profilometry for Metallic Machined Surfaces
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The surface conditions of a machined part hold substantial significance in the manufacturing domain as they influence the overall tribological performance and structural characteristics of a service component. The quality ...
Image Data-Based Surface Texture Characterization and Prediction Using Machine Learning Approaches for Additive Manufacturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The increase in the use of metal additive manufacturing (AM) processes in major industries like aerospace, defense, and electronics indicates the need for maintaining a tight quality control. A quick, low-cost, and reliable ...