CIRP Journal of Manufacturing Science and Technology最新文献

{"title":"A novel trajectory planning approach with torque and jerk constraints based on polynomial interpolation profile and adaptive iteration","authors":"Yifei Hu ,&nbsp;Ming Sang ,&nbsp;Huawei Duan","doi":"10.1016/j.cirpj.2025.05.009","DOIUrl":"10.1016/j.cirpj.2025.05.009","url":null,"abstract":"<div><div>This paper presents a novel adaptive iteration approach to trajectory planning for industrial robots, with bounded torque and jerk. The core of this approach is to construct a conservative velocity curve and iteratively increase the feasible velocity curve while adhering to kinematic and dynamic constraints. In this approach, a polynomial profile is given to achieve smooth velocity transitions between adjacent path points, effectively modeling the acceleration and deceleration processes. Based on this polynomial profile, a conservative velocity curve consisting of three stages—acceleration, constant velocity, and deceleration—is constructed. The velocity in the constant velocity stage and the number of path points involved in the acceleration and deceleration stages are determined using the bisection method. Subsequently, the velocity in the constant velocity stage of the conservative or the previous velocity curve is increased following the same way that constructs the conservative velocity curve. This process is repeated until the number of path points in all constant velocity stages is below a given threshold. The proposed approach can be implemented on complex geometric paths of a 6-DOF manipulator while satisfying all kinematic and dynamic constraints. Compared to the comparison method based on convex optimization, the proposed method can reduce the traversing time by 6.06 % and the computation time by 77.4 %.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 277-295"},"PeriodicalIF":4.6,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167674","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":"Tolerance allocation by means of the polyhedral based tolerance analysis method","authors":"Sonia C. García ,&nbsp;Vincent Delos ,&nbsp;Denis Teissandier ,&nbsp;Grégory Nuel","doi":"10.1016/j.cirpj.2025.04.016","DOIUrl":"10.1016/j.cirpj.2025.04.016","url":null,"abstract":"<div><div>The imperfection in the geometry and size of mechanical parts can lead to problems of assemblability and/or overall functionality. Defining acceptable tolerances for these imperfections is challenging because they impact how well the machine works and how much it costs to manufacture. In addition, tolerances for different parts often influence each other, contributing to a resultant tolerance.</div><div>This article presents a novel approach to tolerance allocation in mechanical design using the prismatic polyhedral approach and simulated annealing optimization. The prismatic polyhedral method effectively models deviations in complex mechanisms, while simulated annealing is used to optimize tolerance values considering both cost and functional compliance.</div><div>Methods based on sets of constraints, such as the prismatic polyhedral approach, can handle over- and iso-constrained mechanisms and, since it is feature based, it allows to model dependencies between rotational and translational deviations. However, they are often limited by high computational costs. To address this, the proposed methodology introduces a strategy to reduce the complexity of the contact graph reduction process, improving computational efficiency without sacrificing accuracy. Additionally, a new indicator of system compliance – the tolerance of circumscription – is introduced. This indicator has physical meaning and helps the designer to assess whether the system meets its functional conditions, as well as whether the total tolerance stack-up can be increased or needs to be tightened.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 260-276"},"PeriodicalIF":4.6,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139355","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":"Application of dynamic pricing for variant production using reinforcement learning","authors":"Florian Stamer,&nbsp;Matthias Henzi,&nbsp;Gisela Lanza","doi":"10.1016/j.cirpj.2025.05.004","DOIUrl":"10.1016/j.cirpj.2025.05.004","url":null,"abstract":"<div><div>In the context of variant production, the increasing volatility and customer requirements challenge the profitability of manufacturers. A promising approach to mitigate these challenges could be a dynamic pricing. An intelligent design of a continuous delivery-time-price function allows customers to choose based on their preferences and demand may be shifted to level any peaks. This way, profit, service level, and capacity usage could be improved. This work develops a dynamic pricing model based on reinforcement learning applied to a use case of the automation industry. The results show that the dynamic pricing model performs better than current methods in practice.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 248-259"},"PeriodicalIF":4.6,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139354","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":"Condition-aware capacity planning for agile hybrid disassembly systems in remanufacturing","authors":"Marco Wurster ,&nbsp;Timon Feuerstein ,&nbsp;Finn Bail ,&nbsp;Marvin Carl May ,&nbsp;Lihui Wang ,&nbsp;Gisela Lanza","doi":"10.1016/j.cirpj.2025.04.008","DOIUrl":"10.1016/j.cirpj.2025.04.008","url":null,"abstract":"<div><div>Remanufacturing of used products is essential in the circular economy but faces challenges like high variant diversity and varying product states, requiring flexible production resources. Agile hybrid disassembly systems, combining manual and automated resources, offer a solution. These systems need a planning methodology to reconfigure capacity and structure effectively. This work proposes a foresighted condition-aware capacity planning method, using a mixed-integer linear optimization problem to adjust system capacity while minimizing costs. A capability-based framework models the hybrid system, considering product condition deviations. The system, tested on data grounded in a real industrial scenario, shows the benefits of frequent reconfiguration based on condition-aware planning.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 234-247"},"PeriodicalIF":4.6,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123757","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":"Developing a digital twin system for a direct-drive electric screw press","authors":"Linglin Liu,&nbsp;Xiangrui Hu,&nbsp;Zhengyu Quan,&nbsp;Jinguo Huang,&nbsp;Jing Liu","doi":"10.1016/j.cirpj.2025.04.015","DOIUrl":"10.1016/j.cirpj.2025.04.015","url":null,"abstract":"<div><div>Electric screw presses are extensively utilized in industrial manufacturing sectors. However, when operating under extreme conditions, it is prone to performance degradation due to unreliable factors. Additionally, due to limitations in sensor placement and diversity, there are blind spots in monitoring the internal state of the equipment, making it difficult to detect potential faults in a timely manner. To address these challenges, this paper proposes a direct-drive electric screw press (DESP) system integrated with Digital Twin (DT). By accurately simulating the dynamic behavior and performance of physical equipment, DT enables intelligent operation and maintenance functions, including real-time monitoring and fault prediction. This paper presents a comprehensive DT system framework comprising physical, digital, and service layers, with detailed descriptions of implementation methodologies for each module within the digital layer. To validate the proposed approach, a J58ZK-4000 electric screw press was selected as a case study. Using MATLAB Simulink, we built a DT behavior model of DESP and demonstrated its robust capabilities in adaptive updating and data generation. Finally, we briefly outlined sensor data items and showcased the detection of equipment state changes based on AutoEncoder, thereby establishing a foundation for comprehensive state awareness and decision support for DESP.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 222-233"},"PeriodicalIF":4.6,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144088792","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":"Development of numerical model to investigate the process mechanics of eccentric square pin during friction stir welding","authors":"Atul Kumar Choudhary,&nbsp;Rahul Jain","doi":"10.1016/j.cirpj.2025.05.001","DOIUrl":"10.1016/j.cirpj.2025.05.001","url":null,"abstract":"<div><div>The tool pin feature is a key factor for driving the weld quality and material flow characteristics during friction stir welding (FSW). A thermomechanical coupled Eulerian-Lagrangian (CEL) model is developed to simulate the influence of tool pin eccentricity (0.0, 0.1, and 0.2 mm) on the variation of mechanical properties, material flow, temperature, and forces. The Eulerian volume fraction (EVF) technique has been used for defect identification, and the model is validated with experimentally observed defects, peak temperature, and forces. Results show enhanced mechanical and thermal characteristics with increased pin eccentricity and tool tilt angle. The eccentric pin resulted in an enhanced effective pin geometry, resulting in higher swept volume, i.e., leading to improved strength and plastic deformation with a higher rotational path of the material. Widening of the stir zone is observed with an increase in pin eccentricity from 0.0 to 0.2 mm. The highest weld efficiency of 86 % is obtained for <span><math><msup><mrow><mn>2</mn></mrow><mrow><mi>o</mi></mrow></msup></math></span> tilt and 0.2 mm pin eccentricity with a stirred zone peak temperature of 439 °C and 9.4 effective strain. The material flow is studied using tracer material to understand the extent of material flow behavior with pin eccentricity. Variation in temperature, heat flux, strain, and material velocity is studied for different angular motions of the tool pin.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 206-221"},"PeriodicalIF":4.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943023","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":"Enhancing surface quality, mechanical properties, and biocompatibility of laser powder-bed fusion-fabricated SS316L part through laser polishing","authors":"Manchu Mohan Krishna Sai,&nbsp;Amitava Mandal","doi":"10.1016/j.cirpj.2025.05.003","DOIUrl":"10.1016/j.cirpj.2025.05.003","url":null,"abstract":"<div><div>Laser powder bed fusion (LPBF) is a well-known process for fabricating metallic bio-implants. However, the printed implants exhibit higher surface roughness along the build direction due to powder adhesion, lack of fusion of powder particles, and staircase effect caused by layer-on-layer deposition. This study investigated the influence of laser polishing (LP) on surface characteristics, mechanical properties, and biocompatibility of LPBF-fabricated SS316L parts. LP significantly reduced surface roughness (84 %) compared to the as-built state. The pyrometer captures the temperature in the rapid heating, melting, and solidification stages during laser polishing. The rate of heating and cooling is about 10⁷ºC/s in both cases, which resulted in a columnar and lathe-type microstructure with a micro-hardness of 270 HV. Wear resistance after LP is enhanced due to surface hardening, but its effectiveness might be limited to its remelted layer thickness. XRD analysis confirmed no alteration in material phases (Fe₁Ni₁ and γ-Fe). The cytotoxicity analysis of the powdered and as-built samples showed less cell viability and proliferation. Laser-polished surfaces fostered the highest cell viability, highlighting their superior biocompatibility. Overall, this study suggests laser polishing as a promising approach to improve surface quality, mechanical properties, and biocompatibility of LPBF-made SS316L parts, particularly for biomedical applications.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 195-205"},"PeriodicalIF":4.6,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927990","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":"Material extrusion 3D printing with polymer microsphere inks: Effects of solid volume fraction and extrudate swell on the resolution and suitable processing parameters","authors":"Juuso Pohjola ,&nbsp;Tero Soukka ,&nbsp;Mika Jokinen ,&nbsp;Mikael Stolt","doi":"10.1016/j.cirpj.2025.05.002","DOIUrl":"10.1016/j.cirpj.2025.05.002","url":null,"abstract":"<div><div>Material extrusion 3D printing of semi-solid inks holds tremendous potential in the pharmaceutical industry. However, the success of the manufacturing process relies on adequate material properties and optimized process parameters. Therefore, broader adoption of the technology requires a deep understanding of the phenomena present before, during, and after the extrusion process. This paper illustrates the practical effects of extrudate swell on the 3D printing process and the resulting object quality. Extrudable inks containing polymeric microspheres embedded in a Carbopol gel matrix were studied, and the effects of extrudate swell on print quality were assessed. Neglecting extrudate swell resulted in the extension of the printed filaments, leading to shape distortion in thin-walled objects. However, extrusion rate corrections could be determined from the extrudate swell ratios, which was experimentally validated. While extrudate swell negatively affected printing resolution, a counteracting effect was also demonstrated by utilizing controlled shrinkage after printing.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 182-194"},"PeriodicalIF":4.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927989","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":"Selection of a suitable wear-resistant metal matrix composite for remanufacturing continuous miner cutter (CMC) sleeves via a two-step laser-based technique","authors":"Emmanuel Efemena Lindsay ,&nbsp;Idris Babatunde Akintunde ,&nbsp;Eyitayo Olatunde Olakanmi ,&nbsp;Raghupatruni Ventaka Satya Prasad ,&nbsp;Annelize Botes ,&nbsp;Sisa Lesley Pityana ,&nbsp;Samuel Skhosane","doi":"10.1016/j.cirpj.2025.04.014","DOIUrl":"10.1016/j.cirpj.2025.04.014","url":null,"abstract":"<div><div>The premature failure of continuous miner cutter (CMC) sleeves in underground coal mining necessitates remanufacturing to enable a closed-loop system and enhanced sustainable mining operations. However, a techno-economic analysis conducted revealed that exclusively using laser cladding (LC) to remanufacture failed sleeves is not economically viable. Thus, this research aims to explore a two-step laser-based remanufacturing technique that incorporates gas metal arc welding (GMAW) and LC, as well as identify suitable wear-resistant metal matrix composites (MMCs) for restoring damaged sleeves. Consequently, an LC process was used to deposit three MMC materials onto optimised GMAW overlays. A comparative analysis of the manufactured MMC coatings revealed that WC/TiC/AISI4340 coating exhibited a well-consolidated, crack- and pore-free microstructure and a superior microhardness of 931 HV0.5 compared to WC- and TiC-reinforced composites, which had average hardness values of 670 HV0.5 and 744 HV0.5, respectively. Additionally, the WC/TiC/AISI4340 coating demonstrated an excellent low wear rate (0.0007 g/s) comparable to TiC-reinforced coating, and a propensity to extend the sleeve’s lifespan by a factor of four. These enhancements are attributed to the formation of an umbrella-like network of TiC, predominantly distributed in the coating top region and solid solution strengthening [(Ti, W)C] caused by the partial dissolution of WC/TiC carbides and their precipitation into the eutectic carbide network within the interdendritic grain regions. Hence, combining GMAW and LC processes with WC/TiC/AISI4340 presents a promising remanufacturing strategy for restoring mining equipment, offering improved performance, longer lifespan, and economically viable and sustainable mining operations.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 165-181"},"PeriodicalIF":4.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918025","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":"Autonomous process optimization of a tabletop CNC milling machine using computer vision and deep learning","authors":"Filippo Danilo Michelacci,&nbsp;Gyuhyeon Han,&nbsp;Sanha Kim","doi":"10.1016/j.cirpj.2025.04.009","DOIUrl":"10.1016/j.cirpj.2025.04.009","url":null,"abstract":"<div><div>CNC milling machines offer precision manufacturing across diverse materials but require off-machine quality checks and trial-and-error parameters selection. This study proposes a system that autonomously adjusts such parameters to improve surface quality and productivity. Composed of a deep learning-based monitoring apparatus capable of on-site surface roughness prediction with a 3.6 % mean error and a dataset of optimized parameters generated via multi-objective Bayesian optimization in only eleven attempts, it successfully conducted a fully autonomous trochoidal slotting operation, improving the final roughness by 36 %. The system, with further refinements, can be industrialized making autonomous machining accessible even to small and medium enterprises.</div></div>","PeriodicalId":56011,"journal":{"name":"CIRP Journal of Manufacturing Science and Technology","volume":"60 ","pages":"Pages 153-164"},"PeriodicalIF":4.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903713","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}