Litcius/Paper detail

Optimization of dimensional accuracy in threading process using solid-lubricant embedded textured tools

Salman Khani, Seyedhamidreza Shahabi Haghighi, Mohammad Reza Razfar, Masoud Farahnakian

2021Materials and Manufacturing Processes29 citationsDOI

Abstract

In this paper, the parameters of microtextured tools were studied in the threading of aluminum 7075-T6 alloy. The primary focus of this work is to optimize the parameters of microtextured tools using the RSM method to produce high-accuracy threaded parts. Microtextures were generated through laser micromachining on the rake surface of carbide inserts. Geometric parameters considered were diameter, depth, and distance of microtextures and lubricant type. The maximum deflection of the workpiece in the cutting process was considered as the output of experiments. Optimal microtexture factors were obtained using the RSM method. Based on optimization results, the optimal level of diameter, depth, and distance of microtextures is 95, 15, and 50 µm, respectively, and the microhole-textured CNT-embedded tool is more efficient than MoS2-embedded tool and traditional tools. Our results reveal that the maximum deflection of the workpiece reduced up to 40.2% as the microhole-textured CNT-embedded tool is applied in this process.

Topics & Concepts

Materials scienceLubricantResponse surface methodologyRakeThreading (protein sequence)Deflection (physics)Surface roughnessSurface micromachiningComposite materialCarbideMechanical engineeringFabricationComputer scienceOpticsEngineeringAlternative medicineNuclear magnetic resonanceMachine learningMedicinePathologyProtein structurePhysicsAdvanced machining processes and optimizationAdvanced Surface Polishing TechniquesAdvanced Machining and Optimization Techniques