Gorka Urbikain-Pelayo , Daniel Olvera-Trejo , Luis Norberto López de Lacalle , Alex Elías-Zuñiga , Itziar Cabanes
{"title":"Mill+, an intuitive tool for simulating the milling process: Vibrations, cutting forces and surface quality control","authors":"Gorka Urbikain-Pelayo , Daniel Olvera-Trejo , Luis Norberto López de Lacalle , Alex Elías-Zuñiga , Itziar Cabanes","doi":"10.1016/j.softx.2025.102114","DOIUrl":null,"url":null,"abstract":"<div><div>Machining is a highly technological manufacturing process for producing high-added value components across various engineering applications ranging from automotive to aerospace and medical devices. Especially in the machining of flexible components, vibrations remain a significant barrier to productivity, due to the lack of specific scientific understanding about the mechanics of the cutting process, tool-workpiece dynamics and the causes of unstable vibrations. While commercial software solutions exist, their cost and steep learning curve limit the access of small companies and researchers aiming to optimize machining dynamics. To address this gap, Mill+ provides a simple and intuitive solution to the time-delay dynamic equations that characterize milling systems with flexible features. The software generates stability diagrams based on typical milling parameters such as spindle speed, axial depth of cut and surface roughness predictions. Additionally, it offers insights into critical process variables, including cutting forces, power consumption, and material removal rates. This comprehensive visualization data enables users to make informed decisions about cutting parameters and predict outcomes without relying on the trial and error approach. Mill+ is designed for professional practitioners and postgraduate students to get started in machining vibrations.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102114"},"PeriodicalIF":2.4000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025000810","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
Machining is a highly technological manufacturing process for producing high-added value components across various engineering applications ranging from automotive to aerospace and medical devices. Especially in the machining of flexible components, vibrations remain a significant barrier to productivity, due to the lack of specific scientific understanding about the mechanics of the cutting process, tool-workpiece dynamics and the causes of unstable vibrations. While commercial software solutions exist, their cost and steep learning curve limit the access of small companies and researchers aiming to optimize machining dynamics. To address this gap, Mill+ provides a simple and intuitive solution to the time-delay dynamic equations that characterize milling systems with flexible features. The software generates stability diagrams based on typical milling parameters such as spindle speed, axial depth of cut and surface roughness predictions. Additionally, it offers insights into critical process variables, including cutting forces, power consumption, and material removal rates. This comprehensive visualization data enables users to make informed decisions about cutting parameters and predict outcomes without relying on the trial and error approach. Mill+ is designed for professional practitioners and postgraduate students to get started in machining vibrations.
期刊介绍:
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.