Advances in Manufacturing最新文献_第6页

Mechanical properties and failure mechanisms of self-piercing riveted aluminum alloys with different edge distances 不同边距自穿铆接铝合金力学性能及破坏机理

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2025-01-22 DOI: 10.1007/s40436-024-00541-w

Jin-Rui Duan, Chao Chen

{"title":"Mechanical properties and failure mechanisms of self-piercing riveted aluminum alloys with different edge distances","authors":"Jin-Rui Duan, Chao Chen","doi":"10.1007/s40436-024-00541-w","DOIUrl":"10.1007/s40436-024-00541-w","url":null,"abstract":"<div><p>Self-piercing riveting (SPR) is widely used in thin-walled structures and the automotive industry to join aluminum alloy sheets. Lightweight vehicles are a common trend in the automotive industry. To further reduce vehicle weight and ensure the strength of the AA5052 aluminum alloy thin-sheet joint, the optimization of the amount of material used in the joint should be considered. The effect of the riveting position on the joint strength was investigated using riveting methods with different edge distances. Five edge distances (4.5, 6.5, 8.5, 10.5 and 12.5 mm) along the longitudinal direction were used in the investigations. In addition, a shear test was performed to analyze the mechanical properties of the joint. The results showed that as the edge distance decreased, the damage pattern of the joint changed from rivet pulling out of the plate to tearing at the upper plate edge, and as the edge pitch increased, the lap shear strength gradually increased. The minimum edge distance required to meet the deformation strength of the joint was 8.5 mm. This study provides a reference for reducing the amount of joint material, achieving lightweight production of automobiles, and failure repair of joints.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 3","pages":"655 - 667"},"PeriodicalIF":3.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145168674","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}

引用次数: 0

A mechanism-data hybrid-driven modeling method for predicting machine tool-cutting energy consumption 机床切削能耗预测的机构-数据混合驱动建模方法

IF 4.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-12-24 DOI: 10.1007/s40436-024-00526-9

Yue Meng, Sheng-Ming Dong, Xin-Sheng Sun, Shi-Liang Wei, Xian-Li Liu

{"title":"A mechanism-data hybrid-driven modeling method for predicting machine tool-cutting energy consumption","authors":"Yue Meng, Sheng-Ming Dong, Xin-Sheng Sun, Shi-Liang Wei, Xian-Li Liu","doi":"10.1007/s40436-024-00526-9","DOIUrl":"10.1007/s40436-024-00526-9","url":null,"abstract":"<div><p>High-quality development in the manufacturing industry is often accompanied by high energy consumption. The accurate prediction of the energy consumption of computer numerical control (CNC) machine tools, which plays a vital role in manufacturing, is of great importance in energy conservation. However, the existing research ignores the impact of multi-factor energy losses on the performance of machine tool energy consumption prediction models. The existing models must be selected and verified several times to determine the appropriate hyperparameters. Therefore, in this study, a machine tool energy consumption prediction method based on a mechanism and data-driven model that considers multi-factor energy losses and hyperparameter dynamic self-optimization is proposed to improve the accuracy and reduce the difficulty of hyperparameter tuning. The proposed multi-factor energy-loss prediction model is based on the theoretical prediction model of machine-tool cutting energy consumption. After creating the model, a hyperparameter search space embedding a tree-structured Parzen estimator (TPE) was designed based on Hyperopt to dynamically self-optimize the hyperparameters in the deep neural network (DNN) model. Finally, two sets of experiments were designed for verification and comparison with the theoretical and data models. The results showed that the energy consumption prediction performances of the proposed hybrid model in the two sets of experiments were 99% and 97%.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 1","pages":"167 - 195"},"PeriodicalIF":4.2,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143109218","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}

引用次数: 0

Heterogeneous ablation behavior of SiCf/SiC composite by nanosecond pulse laser 纳秒脉冲激光对SiCf/SiC复合材料的非均相烧蚀行为

IF 4.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-11-16 DOI: 10.1007/s40436-024-00532-x

Jia-Heng Zeng, Quan-Li Zhang, Yu-Can Fu, Jiu-Hua Xu

引用次数: 0

Electrochemical grinding of honeycomb seals using sodium dodecylbenzene sulfonate as an eco-friendly inhibitor: machining principle and performance evaluation 十二烷基苯磺酸钠生态抑制剂对蜂窝密封件的电化学磨削：加工原理及性能评价

IF 4.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-11-15 DOI: 10.1007/s40436-024-00531-y

Jin-Hao Wang, Lu Wang, Han-Song Li, Ning-Song Qu

{"title":"Electrochemical grinding of honeycomb seals using sodium dodecylbenzene sulfonate as an eco-friendly inhibitor: machining principle and performance evaluation","authors":"Jin-Hao Wang, Lu Wang, Han-Song Li, Ning-Song Qu","doi":"10.1007/s40436-024-00531-y","DOIUrl":"10.1007/s40436-024-00531-y","url":null,"abstract":"<div><p>To enhance the performance of aero-engines, honeycomb seals are commonly used between the stator and rotor to reduce leakage and improve mechanical efficiency. Because of the thin-walled and densely distributed honeycomb holes, machining defects are prone to occur during manufacturing. Electrochemical grinding (ECG) can minimize machining deformation because it is a hybrid process involving electrochemical dissolution and mechanical grinding. However, electrolysis will generate excessive corrosion on the honeycomb surface, which affects the sealing capability and operational performance. In this study, an ECG method using an electrolyte of 10% (mass fraction) NaCl is proposed to machine the inner cylindrical surface of the honeycomb seal, and an eco-friendly inhibitor, sodium dodecylbenzene sulfonate (SDBS), is introduced to the electrolyte to inhibit corrosion of the honeycomb structure. A theoretical relationship between the voltage and feed rate during ECG is proposed, and the excessive corrosion of the honeycomb single-foiled segment is used as a measurement of the impact of electrolysis. The corrosion inhibition efficiency of SDBS on the honeycomb material in 10% (mass fraction) NaCl solution is evaluated through electrochemical tests, and the suitable feed rate and optimal concentration of SDBS are determined through ECG experiments. Additionally, the corrosion inhibition effect of SDBS is validated through four groups of comparative experiments. The results indicate that the inhibition efficiency of SDBS increases with increasing concentration, reaching the maximum of 73.44%. The optimal SDBS mass fraction is determined to be 0.06%. The comparative experiments show that excessive corrosion is reduced by more than 40%. This establishes ECG as an effective and environmentally friendly processing method for honeycomb seals by incorporating SDBS into a 10% (mass fraction) NaCl solution.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 1","pages":"229 - 244"},"PeriodicalIF":4.2,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108731","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}

引用次数: 0

Surface quality evaluation of cold plasma and NMQL multi-field coupling eco-friendly micro-milling 7075-T6 aluminum alloy 冷等离子体与NMQL多场耦合环保微铣削7075-T6铝合金表面质量评价

IF 4.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-11-13 DOI: 10.1007/s40436-024-00530-z

Zhen-Jing Duan, Shuai-Shuai Wang, Shu-Yan Shi, Ji-Yu Liu, Yu-Heng Li, Zi-Heng Wang, Chang-He Li, Yu-Yang Zhou, Jin-Long Song, Xin Liu

{"title":"Surface quality evaluation of cold plasma and NMQL multi-field coupling eco-friendly micro-milling 7075-T6 aluminum alloy","authors":"Zhen-Jing Duan, Shuai-Shuai Wang, Shu-Yan Shi, Ji-Yu Liu, Yu-Heng Li, Zi-Heng Wang, Chang-He Li, Yu-Yang Zhou, Jin-Long Song, Xin Liu","doi":"10.1007/s40436-024-00530-z","DOIUrl":"10.1007/s40436-024-00530-z","url":null,"abstract":"<div><p>Micromilling has been extensively employed in different fields such as aerospace, energy, automobiles, and healthcare because of its efficiency, flexibility, and versatility in materials and structures. Recently, nanofluid minimum quantity lubrication (NMQL) has been proposed as a green and economical cooling and lubrication method to assist the micromilling process; however, its effect is limited because high-speed rotating tools disturb the surrounding air and impede the entrance of the nanofluid. Cold plasma can effectively enhance the wettability of lubricating droplets on the workpiece surface and promote the plastic fracture of materials. Therefore, the multifield coupling of cold plasma and NMQL may provide new insights to overcome this bottleneck. In this study, experiments on cold plasma + NMQL multifield coupling-assisted micromilling of a 7075-T6 aluminum alloy were conducted to analyze the three-dimensional (3D) surface roughness (<i>S</i><sub>a</sub>), surface micromorphology, burrs of the workpiece, and milling force at different micromilling depths. The results indicated that, under cold plasma + NMQL, the workpiece surface micromorphology was smooth with fewer burrs. In comparison with dry, N<sub>2</sub>, cold plasma, and NMQL, the <i>S</i><sub>a</sub> values at different cutting depths (5, 10, 15, 20 and 30 μm) were relatively smaller under cold plasma + NMQL with 0.035, 0.036, 0.041, 0.043 and 0.046 μm, which were respectively reduced by 38.9%, 45.7%, 45.9%, 47% and 48.9% when compared to the dry. The effect of cold plasma + NMQL multifield coupling-assisted micromilling on enhancing the workpiece surface quality was analyzed using mechanical analysis of tensile experiments, surface wettability, and X-ray photoelectron spectroscopy (XPS).</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 1","pages":"69 - 87"},"PeriodicalIF":4.2,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108461","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}

引用次数: 0

Mechanism and machinability in novel electroplastic-assisted grinding ductile iron 新型电塑辅助磨削球墨铸铁的机理和可加工性

IF 4.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-11-12 DOI: 10.1007/s40436-024-00533-w

Jia-Hao Liu, Dong-Zhou Jia, Chang-He Li, Yan-Bin Zhang, Ying Fu, Zhen-Lin Lv, Shuo Feng

{"title":"Mechanism and machinability in novel electroplastic-assisted grinding ductile iron","authors":"Jia-Hao Liu, Dong-Zhou Jia, Chang-He Li, Yan-Bin Zhang, Ying Fu, Zhen-Lin Lv, Shuo Feng","doi":"10.1007/s40436-024-00533-w","DOIUrl":"10.1007/s40436-024-00533-w","url":null,"abstract":"<div><p>Owing to the hard brittle phase organization in their matrixes, brittle materials are prone to the formation of pits and cracks on machined surfaces under extreme grinding conditions, which severely affect the overall performance and service behavior of machined parts. Based on the electroplastic effect of pulsed currents during material deformation, this study investigates electroplastic-assisted grinding with different electrical parameters (current, frequency, and duty cycle). The results demonstrate that compared to conventional grinding, the pulsed current can significantly decrease the surface roughness (<i>S</i><sub>a</sub>) of the workpiece and reduce surface pits and crack defects. The higher the pulsed current, the more pronounced the improvement in the surface quality of the workpiece. Compared to traditional grinding, when the pulsed current is 1 000 A, <i>S</i><sub>a</sub> decreases by 46.4%, and surface pit and crack defects are eliminated. Under the same pulse-current amplitude and frequency conditions, the surface quality continues to improve as the duty cycle increases. When the duty cycle is 75%, <i>S</i><sub>a</sub> reaches a minimum of 0.749 μm. However, the surface quality is insensitive to the pulsed-current frequency. By investigating the influence of pulsed electrical parameters on the surface quality of brittle material under grinding conditions, this study provides a theoretical basis and technical support for improving the machining quality of hard, brittle materials.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 1","pages":"245 - 263"},"PeriodicalIF":4.2,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108620","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}

引用次数: 0

Effect of annealing and strain rate on the microstructure and mechanical properties of austenitic stainless steel 316L manufactured by selective laser melting 退火和应变速率对选择性激光熔化316L奥氏体不锈钢显微组织和力学性能的影响

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2024-11-12 DOI: 10.1007/s40436-024-00528-7

Zhi-Ping Zhou, Zhi-Heng Tan, Jin-Long Lv, Shu-Ye Zhang, Di Liu

{"title":"Effect of annealing and strain rate on the microstructure and mechanical properties of austenitic stainless steel 316L manufactured by selective laser melting","authors":"Zhi-Ping Zhou, Zhi-Heng Tan, Jin-Long Lv, Shu-Ye Zhang, Di Liu","doi":"10.1007/s40436-024-00528-7","DOIUrl":"10.1007/s40436-024-00528-7","url":null,"abstract":"<div><p>New insights are proposed regarding the α′-martensite transformation and strengthening mechanisms of austenitic stainless steel 316L fabricated using selective laser melting (SLM-ed 316L SS). This study investigates the effects of annealing on the microstructural evolution, mechanical properties, and corrosion resistance of SLM-ed 316L SS specimens. The exceptional ultimate tensile strength (807 MPa) and good elongation (24.6%) of SLM-ed 316L SS was achieved by SLM process and annealing treatment at 900 °C for 1 h, which was attributed to effective dislocation strengthening and grain boundary strengthening. During tensile deformation, annealed samples exhibited deformation twinning as a result of the migration from high-angle grain boundaries to low-angle grain boundaries, facilitating the α′-martensite transformation. Consequently, a deformation mechanism model is proposed. The contribution of dislocation strengthening (~61.4%) is the most important strengthening factor for SLM-ed 316L SS annealed 900 °C for 1 h, followed by grain boundary strengthening and solid solution strengthening. Furthermore, the corrosion resistance of SLM-ed 316L SS after annealing treatment is poor due to its limited re-passivation ability.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 3","pages":"634 - 654"},"PeriodicalIF":3.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145165572","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}

引用次数: 0

Effects of tool coating and tool wear on the surface and chip morphology in side milling of Ti2AlNb intermetallic alloys 刀具涂层和刀具磨损对Ti2AlNb金属间合金侧铣削表面和切屑形貌的影响

IF 4.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-11-11 DOI: 10.1007/s40436-024-00527-8

Xin Wang, Qing-Liao He, Biao Zhao, Wen-Feng Ding, Qi Liu, Dong-Dong Xu

{"title":"Effects of tool coating and tool wear on the surface and chip morphology in side milling of Ti2AlNb intermetallic alloys","authors":"Xin Wang, Qing-Liao He, Biao Zhao, Wen-Feng Ding, Qi Liu, Dong-Dong Xu","doi":"10.1007/s40436-024-00527-8","DOIUrl":"10.1007/s40436-024-00527-8","url":null,"abstract":"<div><p>Ti<sub>2</sub>AlNb intermetallic alloys, which belong to the titanium aluminum (TiAl) family, are currently being extensively researched and promoted in the aerospace industry because of their exceptional properties, including low density, high-temperature strength, and excellent oxidation resistance. However, the excellent fracture toughness of the material leads to the formation of surface defects during machining, thereby affecting the quality of the machined surface. In this study, Ti<sub>2</sub>AlNb intermetallic alloys were subjected to side-milling trials to investigate the influence of tool coating and tool wear on both the machined surface quality and chip morphology. Specifically, the tool life, machined surface roughness, surface morphology, surface defects, and chip morphology were investigated in detail. The results indicated that the tool coating provided a protective effect, resulting in a threefold increase in the service life of the coated end mill compared to that of the uncoated one. A coated end mill yields a superior machined surface topography, as evidenced by reduced roughness and a more consistent morphology. Tool wear has a significant effect on the morphology of machined surfaces. The occurrence of material debris and feed marks became increasingly severe as the tool wore off. The chip morphology was not significantly affected by the tool coating. However, tool wear results in severe tearing along the chip edge, obvious plastic flow on the non-free surface, and a distinct lamellar structure on the free surface.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 1","pages":"155 - 166"},"PeriodicalIF":4.2,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108540","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}

引用次数: 0

BRMPNet: bidirectional recurrent motion planning networks for generic robotic platforms in smart manufacturing BRMPNet：面向智能制造通用机器人平台的双向循环运动规划网络

IF 3.8 2区工程技术

Advances in Manufacturing Pub Date : 2024-11-11 DOI: 10.1007/s40436-024-00529-6

Bo-Han Feng, Bo-Yan Li, Xin-Ting Jiang, Qi Zhou, You-Yi Bi

{"title":"BRMPNet: bidirectional recurrent motion planning networks for generic robotic platforms in smart manufacturing","authors":"Bo-Han Feng, Bo-Yan Li, Xin-Ting Jiang, Qi Zhou, You-Yi Bi","doi":"10.1007/s40436-024-00529-6","DOIUrl":"10.1007/s40436-024-00529-6","url":null,"abstract":"<div><p>In the era of Industry 4.0, robot motion planning faces unprecedented challenges in adapting those high-dimension dynamic working environments with rigorous real-time planning requirements. Traditional sampling-based planning algorithms can find solutions in high-dimensional spaces but often struggle with achieving the balance among computational efficiency, real-time adaptability, and solution optimality. To overcome these challenges and unlock the full potential of robotic automation in smart manufacturing, we propose bidirectional recurrent motion planning network (BRMPNet). As an imitation learning-based approach for robot motion planning, it leverages deep neural networks to learn the heuristics for approximate-optimal path planning. BRMPNet employs the refined PointNet++ network to incorporate raw point-cloud information from depth sensors and generates paths with a bidirectional strategy using long short-term memory (LSTM) network. It can also be integrated with traditional sampling-based planning algorithms, offering theoretical assurance of the probabilistic completeness for solutions. To validate the effectiveness of BRMPNet, we conduct a series of experiments, benchmarking its performance against the state-of-the-art motion planning algorithms. These experiments are specifically designed to simulate common operations encountered within generic robotic platforms in smart manufacturing such as mobile robots and multi-joint robotic arms. The results demonstrate BRMPNet’s superior performance on key metrics including solution quality and computational efficiency, suggesting the promising potential of learning-based planning in addressing complex motion planning challenges.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 3","pages":"477 - 492"},"PeriodicalIF":3.8,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164075","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}

引用次数: 0

Blockchain-enabled platform for the quality management of the ready-mixed concrete supply chain 用于预拌混凝土供应链质量管理的区块链平台

IF 4.2 2区工程技术

Advances in Manufacturing Pub Date : 2024-11-08 DOI: 10.1007/s40436-024-00524-x

Wen Wang, Hao Hu, Xiao-Wei Luo, Shi-Shu Ding

{"title":"Blockchain-enabled platform for the quality management of the ready-mixed concrete supply chain","authors":"Wen Wang, Hao Hu, Xiao-Wei Luo, Shi-Shu Ding","doi":"10.1007/s40436-024-00524-x","DOIUrl":"10.1007/s40436-024-00524-x","url":null,"abstract":"<div><p>Currently quality information management of the ready-mixed concrete (RMC) is manually operated, facing risks like poor traceability, information tampering, and fragmentation in the RMC supply chain. To this end, this study proposes a Blockchain-IPFS (interplanetary file system)-enabled information management platform for improving transparency, traceability, and effectiveness of RMC quality management. Specifically, through a semi-structured interview investigating the potential benefits and applications of Blockchain, a transformative Blockchain-based management mode for RMC quality management is constructed. Based on that, a novel Blockchain-based architecture is further proposed by integrating with IPFS and cloud service for addressing its data storage limitation. Furthermore, the information flows and smart contracts representing physical and cyber interactions among multiple supply chain stakeholders are illustrated in detail. Finally, a real-world case study is presented to verify the feasibility of the proposed model. A prototype system is established with solutions for client-cloud collaboration, multi-source data fusion, and enterprise privacy protection, detailing the practical application of proposed model in actual projects. The evaluation results indicate that the proposed model can improve the quality management of RMC supply chain from three aspects: transparency, traceability, and information sharing. This paper contributes to the body of knowledge by offering a novel architecture leveraging both Blockchain and IPFS in storing small-sized and large-sized information. Meanwhile, this research moves beyond conceptual framework and implements the theoretical benefits of Blockchain into engineering practice. Technical components in this paper can be adapted for multiple applications in the construction industry, providing valuable references for future search efforts.</p></div>","PeriodicalId":7342,"journal":{"name":"Advances in Manufacturing","volume":"13 2","pages":"362 - 376"},"PeriodicalIF":4.2,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888674","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}

引用次数: 0