CIRP Journal of Manufacturing Science and Technology最新文献

{"title":"Assessment of cutting force coefficient identification methods and force models for variable pitch and helix bull-nose tools","authors":"Joshua Priest ,&nbsp;Sabino Ayvar-Soberanis ,&nbsp;Javier Dominguez-Caballero ,&nbsp;Peace Onawumi ,&nbsp;Zekai Murat Kilic ,&nbsp;David Curtis","doi":"10.1016/j.cirpj.2024.09.010","DOIUrl":"10.1016/j.cirpj.2024.09.010","url":null,"abstract":"<div><div>The mechanistic approach is commonly implemented to predict and optimise the cutting forces in milling processes to prevent tool breakages, reduce tool wear, reduce form error, and improve surface quality. To implement this method, the cutting force coefficients (CFCs), that characterise the mechanics of the process, must be calculated. This study compares the accuracy of the predicted cutting forces for variable pitch and helix bull-nose milling tools using a rapid testing (RT) optimisation-based mechanistic CFC identification method that only requires a single angular cut with increasing radial engagement to the traditional mechanistic approach that requires several straight cuts. Along with developing a hybrid technique that combines variation in feed rate and radial engagement. The traditional radial, tangential, and axial (RTA) force model is also compared with the frictional and normal rake face (UV) force model that is independent of the local tool rake and inclination angles which is a necessary for bull nose tools. The RT and the developed hybrid CFC identification method with the UV force model predicted the average <span><math><msub><mrow><mi>F</mi></mrow><mrow><mi>x</mi></mrow></msub></math></span>, <span><math><msub><mrow><mi>F</mi></mrow><mrow><mi>y</mi></mrow></msub></math></span> and <span><math><msub><mrow><mi>F</mi></mrow><mrow><mi>z</mi></mrow></msub></math></span> cutting forces to within 7.1 %, 4.3 %, and 3.8 % error, respectively. These methods were slightly less accurate than the traditional method, however they have significant industrial benefits because they have can be used to identify CFCs with either a single cut, or from any tool-path with chip-load variation, respectively. The RTA force model predicted the average cutting forces similarly to the UV force model, however, the UV force model had lower errors using the rapid RT testing method at the extreme corners of the experimental design space.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 210-223"},"PeriodicalIF":4.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Worker-centered evaluation and redesign of manufacturing tasks for ergonomics improvement using axiomatic design principles","authors":"Z. Arkouli,&nbsp;G. Michalos,&nbsp;G. Kokotinis,&nbsp;S. Makris","doi":"10.1016/j.cirpj.2024.10.001","DOIUrl":"10.1016/j.cirpj.2024.10.001","url":null,"abstract":"<div><div>Humans are considered the most valuable resource in manufacturing systems thanks to their craftsmanship, dexterity, and autonomy significantly affecting productivity, quality, and the overall company competitiveness. This paper introduces the SAGE (Systematic Approach to Generating Ergonomic Manufacturing tasks) methodology, a structured approach based on Axiomatic Design principles to integrate Human Factors evaluation early in the operations design phase and redesign manufacturing tasks to improve operators well-being. The primary objective is to mitigate discomfort and safety risks that often lead to musculoskeletal disorders, absenteeism, and production delays. SAGE provides a comprehensive framework for assessing ergonomic aspects of manufacturing tasks and identifying the need for redesign. It offers a detailed set of Functional Requirements (FRs) for reference, assesses FR satisfaction, evaluates task complexity using the Independence Axiom, and examines the intensity of FR satisfaction through the Information Axiom. The methodology includes specific implementation guidelines, ensuring its applicability across diverse manufacturing contexts. Its effectiveness is demonstrated through a large-scale parts assembly case study inspired by the bus and coach industrial sector, where a production engineer evaluated a windows assembly task and identified ergonomic design interventions. A comparative analysis with other relevant methods is finally presented, highlighting the approach's effectiveness.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 188-209"},"PeriodicalIF":4.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental evaluation of 5G performance based on a digital twin of a machine tool","authors":"Jan Mertes ,&nbsp;Christian Schellenberger ,&nbsp;Li Yi ,&nbsp;Marius Schmitz ,&nbsp;Moritz Glatt ,&nbsp;Matthias Klar ,&nbsp;Bahram Ravani ,&nbsp;Hans D. Schotten ,&nbsp;Jan C. Aurich","doi":"10.1016/j.cirpj.2024.09.012","DOIUrl":"10.1016/j.cirpj.2024.09.012","url":null,"abstract":"<div><div>The 5G mobile communication standard can potentially meet the networking requirements for different industrial use cases simultaneously due to the promised low latency, high bandwidth, and high device density while providing a high quality of service. These capabilities enable the realization of digital twins (DTs) that are based on edge computing for time- and safety-critical wireless applications. However, the investigation of the applicability of 5G for DTs in real-world manufacturing scenarios is still lacking. In this work, we have evaluated a DT based on edge-computing and 5G mobile communication using extensive experiments. We have focused on the communication technology and requirements needed to enable functionalities on edge devices. The key contribution of this paper is a comprehensive experimental study on 5G performance characteristics in an existing manufacturing system. Moreover, the influence of 5G on the functionality of the edge-based DT is evaluated and discussed. Full factorial experiments with different network configurations are designed and conducted. The performance of communication characteristics (latency, jitter) is evaluated as well as the impact on the continuity between real and digital processes. The results are also compared with the WiFi standard by experimental evaluation. At last, the limits of current 5G networks for manufacturing are discussed.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 141-152"},"PeriodicalIF":4.6,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physics-supported Bayesian machine learning for chatter prediction with process damping in milling","authors":"Vahid Ostad Ali Akbari ,&nbsp;Andrea Eichenberger ,&nbsp;Konrad Wegener","doi":"10.1016/j.cirpj.2024.09.014","DOIUrl":"10.1016/j.cirpj.2024.09.014","url":null,"abstract":"<div><div>Chatter stability of milling operations is a complicated phenomenon causing serious productivity issues in the manufacturing industry, yet a shop-floor implementable solution is lacking. This paper follows a physics-supported Bayesian machine learning approach and incorporates the potential effect of process damping on the stability of the process. Using a likelihood function based on the Nyquist stability criterion, the learning system monitors the actual stability state of the process during arbitrary cuts and refines the underlying model parameter uncertainties in the structural dynamics, cutting force coefficients, as well as the process damping. The framework can operate with limited training data and display the remaining uncertainties in stability predictions to the machine operator. Experimental case studies show the effectiveness of the proposed method and highlight the importance of considering process damping for certain endmills.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 165-173"},"PeriodicalIF":4.6,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical modelling and experimental investigations to predict the tool wear of copper electrodes during µ-EDM process","authors":"S. Arun,&nbsp;M. Manikandan,&nbsp;Jino Joshy,&nbsp;Basil Kuriachen,&nbsp;Jose Mathew","doi":"10.1016/j.cirpj.2024.09.011","DOIUrl":"10.1016/j.cirpj.2024.09.011","url":null,"abstract":"<div><div>The micro electrical discharge machining (µ-EDM) process is one of the most widely used techniques to produce miniaturized components in micro-electro mechanical system (MEMS) applications due to its inherent advantages. This work investigates the wear phenomena and the morphology of the copper electrodes during the micro-die sinking process. A numerical model of a single spark is developed assuming the Gaussian distribution of heat flux to estimate the crater dimensions formed in the copper tool electrode (tool wear) used as a result of electric discharge. The crater dimension attained from the ABAQUS finite element model is validated with experimental results using a single spark test setup. Moreover, the effect of input parameters namely capacitance and voltage on the electrode wear rate and surface roughness is also studied. The crater dimensions from the single discharge study are used to formulate the wear model for different possibilities of crater distribution, such as non-overlapping craters, craters with less than 30 % overlap, and 50 % overlap. The electrode wear rate (EWR) also displayed a decline from 20.4 % to 11.6 % and further to 8 % when the overlap was permitted up to 30 % and up to 50 % for the wear model respectively. The developed model results are further compared with experimental results in terms of the electrode wear rate and depth of erosion and the deviations are found to be 20.33 % and 20.55 % respectively</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 174-187"},"PeriodicalIF":4.6,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A real-time dual NURBS interpolator with optimised control of flexible acceleration and deceleration for five-axis CNC machining","authors":"Fei Lou ,&nbsp;Hengbo Li ,&nbsp;Zhebin Shen ,&nbsp;Haorong Zhang ,&nbsp;Peng Zhang ,&nbsp;Yijie Wu","doi":"10.1016/j.cirpj.2024.09.015","DOIUrl":"10.1016/j.cirpj.2024.09.015","url":null,"abstract":"<div><div>The limited computing capacity makes it difficult to plan a suitable feedrate profile in real-time for high speed and high accuracy machining of five-axis parametric toolpaths. In this paper, a real-time interpolation algorithm with optimised control of flexible acceleration and deceleration (acc-dec) for the dual NURBS toolpath is proposed. The toolpath is marked as subsegments with similar geometric properties by introducing the five-axis curvature. Machine kinematic and toolpath geometry constraints are considered in the kinematic parameter constraint model. Initial feedrate profiles are solved in a dynamic 3D window which preserves the motion performance of machine tools to a great extent. Convolution is used to smooth the initial feedrate profile to achieve a higher order continuity over the global range. Feedrate fluctuations caused by imprecise parameter interpolation are eliminated through modifying each interpolation periods. Resampling adjusts the position of interpolation points and unify the interpolation periods. All operations mentioned are in series and real-time is strictly guaranteed. Effectiveness of the developed algorithm is validated in simulations and also experimentally on a Self-developed-NC controlled 5-axis machine tool.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 153-164"},"PeriodicalIF":4.6,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tool wear prediction based on SVR optimized by hybrid differential evolution and grey wolf optimization algorithms","authors":"Jianing Wang ,&nbsp;Huiyong Liu ,&nbsp;Xiaoling Qi ,&nbsp;Yingda Wang ,&nbsp;Wei Ma ,&nbsp;Song Zhang","doi":"10.1016/j.cirpj.2024.09.013","DOIUrl":"10.1016/j.cirpj.2024.09.013","url":null,"abstract":"<div><div>Tool wear prediction is key to ensuring product quality and machining efficiency. However, the prediction results of most models are unstable or inaccurate. To address the issues, a tool wear prediction model, based on support vector regression which was optimized by differential evolution and gray wolf optimization algorithms, was proposed in this paper. The method optimized the parameters of support vector regression model through differential evolution and grey wolf optimization algorithms to make the model more balanced in terms of its global and local search capabilities. First, the vibration and power signals were collected by sensors during the milling processes. Then, the features extraction and features selection were performed on the vibration and power signals. Next, the proposed model was developed and trained. Finally, the tool wear was predicted using the proposed model. The results showed that the proposed model had better performance than other models in terms of prediction accuracy and prediction efficiency, and it was applicable to the condition of multiple cutting parameters with generalizability, which will provide some valuable technical support for machining.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 129-140"},"PeriodicalIF":4.6,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of the effects of CO2 pre-cooling on the cooling capacity for cryogenic cooling in machining operations","authors":"Trixi Meier,&nbsp;Jan Harald Selzam,&nbsp;Andreas Röckelein,&nbsp;Nico Hanenkamp","doi":"10.1016/j.cirpj.2024.09.007","DOIUrl":"10.1016/j.cirpj.2024.09.007","url":null,"abstract":"<div><div>Liquid carbon dioxide (LCO₂) based cryogenic cooling has shown promising results in terms of wear reduction, productivity increase and energy efficiency when machining high-temperature materials. For process-safe use with low pulsation, CO₂ must be fed in the liquid state to cool the process zone. LCO₂ is typically stored in riser bottles in which gaseous and liquid aggregate state coexist. A preliminary study has already shown that the liquefied state of the CO₂ can be stabilized by pre-cooling. In this paper, the influence of a heat exchanger as a pre-cooling system on the cooling capacity of the CO₂ is investigated and the required energy consumption is compared to unstabilized CO₂, pressure increased CO₂ and compressed air. It has been shown that pre-cooling leads to a more energy-efficient increase in the cooling capacity of the CO₂ compared to pressure increased CO₂.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 88-97"},"PeriodicalIF":4.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755581724001445/pdfft?md5=c0639d136231d10500c10ba7297156ac&pid=1-s2.0-S1755581724001445-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel approach to enhance formability in Ti-6Al-4V alloy: Experimental investigations and microstructural analysis of pulsating tensile test","authors":"Habip Gökay Korkmaz ,&nbsp;Yusuf Furkan Yapan ,&nbsp;Serkan Toros ,&nbsp;Mevlüt Türköz","doi":"10.1016/j.cirpj.2024.09.008","DOIUrl":"10.1016/j.cirpj.2024.09.008","url":null,"abstract":"<div><div>Ti-6Al-4V alloy, widely utilized in aerospace, medical industries, and specialized applications, boasts exceptional properties. However, its limited formability poses challenges in manufacturing processes. The pulsating loading method emerges as a promising solution to enhance formability in such materials. This study delves into the impact of stress relaxation and loading-unloading tests on the formability of Ti‑6Al‑4V alloy, conducting tensile tests on sheets of two different thicknesses: 0.5 mm and 2.65 mm. Investigating parameters such as pulse starting strain, relaxation time, and strain increment in stress relaxation experiments, as well as unloading ratio and strain increment in loading-unloading experiments, enabled a comprehensive comparison of the two pulsating loading methods across different sheet thicknesses. Results indicate a notable increase in material formability, up to approximately 20 % for the 2.65 mm thickness and up to 50 % for the 0.5 mm thickness compared to monotonic loading. Stress relaxation time emerged as the most influential parameter for both thicknesses. Additionally, XRD analysis was employed to elucidate the microstructural reasons behind the observed formability enhancement, while SEM imaging provided insights into the fracture surface morphology. This systematic approach sheds light on the microstructural mechanisms underlying the effect of pulsating loading on material behavior.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 98-107"},"PeriodicalIF":4.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Asymmetric study on the microstructure and mechanical properties of friction stir welded joints: Finite element simulation and experiment","authors":"Wei Xue ,&nbsp;Liyang Xiao ,&nbsp;Changqing Huang ,&nbsp;Diqiu He ,&nbsp;Xiaoqiang Ren","doi":"10.1016/j.cirpj.2024.09.006","DOIUrl":"10.1016/j.cirpj.2024.09.006","url":null,"abstract":"<div><div>The local asymmetry in the microstructure of friction stir welded joints in metallic materials is a widespread issue that significantly impacts their mechanical properties. However, the mechanisms underlying this local asymmetry remain unelucidated. This study aimed to investigate the microstructure and mechanical properties of friction stir welded joints in 18 mm-thick aluminum alloy plates<em>.</em> The mechanism underlying the asymmetric local microstructure and mechanical properties was investigated using transmission electron microscopy and finite element simulations. The simulation results revealed that the asymmetric distribution of temperature and equivalent plastic strain between the advancing side and retreating side of the weld led to varied distributions of precipitate phases and dislocation density. Specifically, the peak temperature difference in the transverse direction between the advancing side and retreating side ranged from 11.9 to 35.6 °C, with the advancing side being cooler, while the equivalent plastic strain was slightly higher on the advancing side. Microstructural characterization revealed a decreasing trend in the average volume fraction and size of precipitates on the advancing side in the normal direction. In the transverse direction, the volume fraction of precipitates on the advancing side was two to three times higher than that on the retreating side. Additionally, the geometrically necessary dislocation density was greater on the advancing side, ranging between 0.05 × 10 ¹ ⁴ and 0.20 × 10 ¹ ⁴ m⁻² Theoretical calculations of the strengthening mechanisms indicated that the mechanical property asymmetry between the advancing side and retreating side of the friction stir welded joints was primarily due to dislocation and precipitate strengthening. Mechanical property tests confirmed that the tensile strength and microhardness on the advancing side were significantly higher (by 7–19 MPa and 2–5 HV, respectively) compared to the retreating side, aligning with the theoretical calculations. This study affords valuable insights into friction stir welding technology for metallic materials and provides crucial information and theoretical foundations for optimizing welding processes.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"55 ","pages":"Pages 108-128"},"PeriodicalIF":4.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}