journal article·2025-07-01Open access

Proposed Model to Minimize Machining Time by Chip Removal Under Structural Constraint Taking into Consideration Machine Power, Surface Finish, and Cutting Speed by Using Sorting Algorithms

Abraham Manilla-García, Néstor F. Guerrero-Rodriguez, Ivan Rivas-Cambero

Applied Sciences· Volume 15· Issue 13

Abstract

This article proposes a model to estimate the optimal cutting speed and depth of cut used in the machining process by chip removal during the turning operation, considering the structural integrity of the workpiece to be machined. The structural integrity model is proposed considering the rounding of the cutting tool nose as a measure of roughness requested in the workpiece, the electrical power capacity delivered by the machine tool motor as a load-limiting factor for the process, the geometry of the desired workpiece, and the physical machining parameters given by cutting tool manufacturers. Based on these criteria, an estimation algorithm is proposed that integrates these parameters and executes the search for the optimal cutting depth and cutting speed, meeting the structural integrity criterion in accordance with the minimum machining time criterion in the turning process, establishing a balance between process reliability and minimization of machining time. The proposed model is innovative since it presents a new methodology to determine the depth of cut and calculate the machining speed under the criterion of preserving the structural integrity of the piece to be machined to the maximum. This means that the depth of cut and spindle speed estimated under the proposed methodology guarantee that during the machining process, the workpiece will not suffer structural damage from the cutting forces involved in the machining process, minimizing the effects of loading in areas of stress concentration, thereby contributing to highlighting and involving the concept of process reliability. This model provides a new theoretical method for technologists involved in the calculation of the machining process, offering them a theoretical basis for their proposals for depth of cut and cutting speed.
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Research context

OpenAlex topics: Advanced machining processes and optimization · Manufacturing Process and Optimization · Advanced Machining and Optimization Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Engineering Sciences, Pontificia Universidad Católica Madre y Maestra PUCMM, Av. Abraham Lincoln Esq. Romulo Betancourt, Santo Domingo 2748, Dominican Republic

Research and Postgraduate Department, Universidad Politécnica de Tulancingo, Calle Ingenierías No. 100, Tulancingo de Bravo 43629, Hidalgo, Mexico

Funding

Ministry of Higher Education, Science and Technology (MESCyT) of the Dominican Republic through the Fondocyt

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