Engineering Reports最新文献_第2页

Improving performance of defect detection by setting skewed tolerance and joint tolerances in crimp force monitor 通过在压接力监控器中设置倾斜公差和连接公差，提高缺陷检测性能

Engineering Reports Pub Date : 2024-05-08 DOI: 10.1002/eng2.12912

Liancheng Zeng, Dali Qin

{"title":"Improving performance of defect detection by setting skewed tolerance and joint tolerances in crimp force monitor","authors":"Liancheng Zeng, Dali Qin","doi":"10.1002/eng2.12912","DOIUrl":"https://doi.org/10.1002/eng2.12912","url":null,"abstract":"A Crimp Force Monitor (CFM) detects defects by whether the crimp force curve of the force sensor exceeds the set tolerance, with the goal of low defect miss rate and false alarm rate. In this study, typical defects made by hand are crimped with an automatic crimping machine together with good products to obtain continuous data of the crimping force curves and to process the data. For the peak and area deviations of the crimp force curve, the good products show skew‐normal distribution, and the defective samples show outliers and different deviation intensities in the positive and negative directions. Furthermore, by manually intervening in the batch production of multiple groups of defects and comparing the defect miss rate and false alarm rate of CFM with different tolerance settings, the peak skewed tolerance, joint loose tolerance and joint skewed tolerance tree settings can meet a low defect miss rate and low false alarm rate at the same time. The group test results verify the skew‐normal distribution of crimping force curve deviation rate and the characteristics of deviation intensities, providing reference for the tolerance setting of CFM in automated terminal crimping production.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical and experimental analysis of edge wave defect control during TA2 circular tube cold roll forming TA2 圆管冷轧成型过程中边缘波缺陷控制的数值和实验分析

Engineering Reports Pub Date : 2024-05-05 DOI: 10.1002/eng2.12913

Mingze Yue, Jing Zhang, Bing Xiao, Gang Chen, Qiang Fang, Xinxin Tang, Biyou Peng

{"title":"Numerical and experimental analysis of edge wave defect control during TA2 circular tube cold roll forming","authors":"Mingze Yue, Jing Zhang, Bing Xiao, Gang Chen, Qiang Fang, Xinxin Tang, Biyou Peng","doi":"10.1002/eng2.12913","DOIUrl":"https://doi.org/10.1002/eng2.12913","url":null,"abstract":"The increasing application of TA2 titanium profiles in marine and petrochemical industries has spurred in a growing demand for diverse forms, including U‐shaped, rectangular, and tubular thin‐walled profiles. Traditional methods like mechanical subtractive processing and extrusion, despite their prevalence, suffer from high production costs and low efficiency. As a metal sheet forming technology, roll forming stands out for its efficiency, accuracy, and capability of producing complex shapes continuously. Nevertheless, the application of cold rolling to TA2 profiles is challenging primarily due to its low elastic modulus and high yield strength. In view of this, this study employed finite element simulation to analyze the stress and strain distribution during the TA2 roll forming process, aiming to have a better understanding of edge wave defect formation mechanism. Orthogonal experiments were performed to assess the influence of frame spacing, forming speed, roll gap, and downhill amount, on edge wave defects. The findings revealed a predominant influence of the downhill amount. Maintaining the downhill volume at 0.6 times the tube diameter kept the longitudinal strain below 0.9%, effectively mitigating edge wave defects. Implementation of these optimized parameters in an actual TA2 roll forming process confirmed the reliability of the simulations. This study establishes a solid foundation for advancing the TA2 tube cold roll forming process, enhancing the production efficiency of titanium profiles, and shedding some light on current energy conservation and emission reduction.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141011751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental analysis of acidizing in Weizhou X low permeability reservoir 涠洲 X 低渗透储层酸化试验分析

Engineering Reports Pub Date : 2024-05-03 DOI: 10.1002/eng2.12905

Yi Zhang, Bin Zhang, Feng Wei, Hongjun Lu, Banghua Liu, Mingguang Tang, PengYu Zhu, Rui Wang, Jian Yan

{"title":"Experimental analysis of acidizing in Weizhou X low permeability reservoir","authors":"Yi Zhang, Bin Zhang, Feng Wei, Hongjun Lu, Banghua Liu, Mingguang Tang, PengYu Zhu, Rui Wang, Jian Yan","doi":"10.1002/eng2.12905","DOIUrl":"https://doi.org/10.1002/eng2.12905","url":null,"abstract":"Aiming at the problem of increased water injection pressure and poor water injection effect during the water injection operation of Weizhou X offshore low permeability oil reservoir. The cause of clogging was clarified using cast thin section experiments, water quality compatibility experiments and reservoir sensitivity experiments, and corresponding deblocking agents were configured based on the experimental results. The experimental results show that Weizhou X oilfield has strong velocity sensitivity (damage rate 85.35%) and strong salt sensitivity (damage rate 63.02%), and there is a phenomenon of water quality incompatibility. Analysis shows that the excessive velocity of the injected water causes the core particles to fall off and the water quality is incompatible with the calcium carbonate precipitation to cause pore throat blockage as the fluid migrates to the small roar, which is the main reason for the increase in water injection pressure. Based on the analysis results, the acid solution formula was optimized and determined to be: 12% HCl + 0.5% HF + 3% CH3COOH + 0.5% C6H12N4. Indoor test results show that the acid has good clay swelling prevention and reservoir modification effects, and the average reservoir modification rate is 129.21%. The plug‐removing effect is remarkable and can be promoted in similar oil fields.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141016307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Demonstrating computer vision to small‐ and medium‐sized enterprises in manufacturing: Toward overcoming costs and implementation challenges 向中小型制造企业展示计算机视觉：克服成本和实施方面的挑战

Engineering Reports Pub Date : 2024-05-03 DOI: 10.1002/eng2.12910

Jonas Werheid, Sven Münker, Nils Klasen, Tobias Hamann, Anas Abdelrazeq, Robert H. Schmitt

{"title":"Demonstrating computer vision to small‐ and medium‐sized enterprises in manufacturing: Toward overcoming costs and implementation challenges","authors":"Jonas Werheid, Sven Münker, Nils Klasen, Tobias Hamann, Anas Abdelrazeq, Robert H. Schmitt","doi":"10.1002/eng2.12910","DOIUrl":"https://doi.org/10.1002/eng2.12910","url":null,"abstract":"Computer vision (CV) systems are crucial in various fields, such as manufacturing. However, the general feedback from small and medium‐sized enterprises (SMEs) in manufacturing indicates that implementing CV systems are out of reach due to their high costs, the need for expertise, and the complexities of Machine Learning (ML). To demonstrate the feasibility and applicability for SMEs, we present a cost‐effective portable CV‐based demonstrator for SMEs in manufacturing. Incorporating low‐cost hardware components, the system integrates open‐source software and employs Transfer Learning to adapt pre‐existing ML models. We present two illustrative use cases with fault detection and inventory management based on plastic brick datasets including various colors and shapes to demonstrate the system's effectiveness. Bringing this into a showable demonstrator, all components are integrated into a portable suitcase as a plug and play demonstration. We showcase the portable demonstrator at German television and four different industrial fairs, leveraging these dynamic platforms for direct interaction with SMEs and stakeholders. Firsthand insights and feedback from SMEs regarding our demonstration and their challenges, as well as opportunities for CV in manufacturing were received and summarized in this research.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141014972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of hydrogel swelling states using machine learning methods 利用机器学习方法预测水凝胶溶胀状态

Engineering Reports Pub Date : 2024-05-02 DOI: 10.1002/eng2.12893

Yawen Wang, Thomas Wallmersperger, Adrian Ehrenhofer

{"title":"Prediction of hydrogel swelling states using machine learning methods","authors":"Yawen Wang, Thomas Wallmersperger, Adrian Ehrenhofer","doi":"10.1002/eng2.12893","DOIUrl":"https://doi.org/10.1002/eng2.12893","url":null,"abstract":"In the field of material informatics, artificial neural networks (ANNs) contribute to the investigation of the processing‐structure‐properties‐performance relationship of materials. This inspires us to leverage the capabilities of ANNs to decode properties of hydrogels, thereby customizing these active materials for sensors or actuators. In the current work, we introduce an approach to predict discrete swelling states of temperature‐responsive hydrogels, especially PNIPAAm, based on their synthesis parameters, utilizing ANN models. To build the database, we analyze literature on temperature‐responsive hydrogels and compile essential synthesis parameters. The corresponding data points related to these synthesis parameters are then extracted. We propose different variants of ANN models and compare their accuracy on the acquired dataset. The selected model can predict the swelling states of hydrogel samples within the test dataset with relative prediction error of 0.11. This approach is applied to predict the expected properties. Subsequently, the hydrogels can be synthesized, and their properties can be experimentally verified. Our approach can be extended to other types of hydrogels and in the prediction of additional properties. The identified synthesis parameters serve as a valuable foundation for the expansion of the database with further literature resources. An enriched database will enhance the performance of the data‐driven model, thereby improving its predictive capabilities.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141019254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 process parameters on the roughness and tensile behavior of parts manufactured by the metals LPBF process 工艺参数对采用金属 LPBF 工艺制造的零件的粗糙度和拉伸性能的影响

Engineering Reports Pub Date : 2024-05-01 DOI: 10.1002/eng2.12904

Erasmo Correa‐Gómez, H. Castro-Espinosa, A. Caballero-Ruiz, Erika García‐López, L. Ruiz‐Huerta

{"title":"Effect of process parameters on the roughness and tensile behavior of parts manufactured by the metals LPBF process","authors":"Erasmo Correa‐Gómez, H. Castro-Espinosa, A. Caballero-Ruiz, Erika García‐López, L. Ruiz‐Huerta","doi":"10.1002/eng2.12904","DOIUrl":"https://doi.org/10.1002/eng2.12904","url":null,"abstract":"The laser powder bed fusion process for metals (LPBF‐M) results in the development of stochastic surface features that significantly influence the interactions between parts and their surrounding environment, as well as their mechanical properties. The process parameters influence the surface quality, which is quantified by the surface roughness. Therefore, customizing the surface roughness during the build process can significantly contribute to obtaining ready‐to‐use parts, reducing the need for extensive surface posttreatments. This paper utilizes theoretical estimations of melt pool depth under iso‐linear energy density, iso‐power, and iso‐temperature manufacturing process parameter conditions. These estimations are then compared with experimental evaluations of surface roughness and tensile strength in upright‐built specimens to extract the trends in terms of the input energy versus roughness, and the input energy versus tensile behavior. The results show that iso‐energy values yield similar roughnesses due to the consistent expected melt pool depth. Moreover, an increase in melt pool depth generates higher surface roughness, while smaller melt pool dimensions result in improved roughness. Additionally, a comparison between the melt pool size and tensile test performance reveals a detrimental impact on the tensile strength for specimens estimated to have smaller melt pool depths.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141031655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ChatGPT versus Bard: A comparative study ChatGPT 与 Bard：对比研究

Engineering Reports Pub Date : 2024-03-28 DOI: 10.1002/eng2.12890

Imtiaz Ahmed, M. Kajol, Uzma Hasan, P. P. Datta, Ayon Roy, Md. Rokonuzzaman Reza

引用次数: 0

PGD in thermal transient problems with a moving heat source: A sensitivity study on factors affecting accuracy and efficiency 移动热源热瞬态问题中的 PGD：影响精度和效率因素的敏感性研究

Engineering Reports Pub Date : 2024-03-27 DOI: 10.1002/eng2.12887

Dominic Strobl, Jörg F. Unger, Chady Ghnatios, A. Robens-Radermacher

{"title":"PGD in thermal transient problems with a moving heat source: A sensitivity study on factors affecting accuracy and efficiency","authors":"Dominic Strobl, Jörg F. Unger, Chady Ghnatios, A. Robens-Radermacher","doi":"10.1002/eng2.12887","DOIUrl":"https://doi.org/10.1002/eng2.12887","url":null,"abstract":"Thermal transient problems, essential for modeling applications like welding and additive metal manufacturing, are characterized by a dynamic evolution of temperature. Accurately simulating these phenomena is often computationally expensive, thus limiting their applications, for example for model parameter estimation or online process control. Model order reduction, a solution to preserve the accuracy while reducing the computation time, is explored. This article addresses challenges in developing reduced order models using the proper generalized decomposition (PGD) for transient thermal problems with a specific treatment of the moving heat source within the reduced model. Factors affecting accuracy, convergence, and computational cost, such as discretization methods (finite element and finite difference), a dimensionless formulation, the size of the heat source, and the inclusion of material parameters as additional PGD variables are examined across progressively complex examples. The results demonstrate the influence of these factors on the PGD model's performance and emphasize the importance of their consideration when implementing such models. For thermal example, it is demonstrated that a PGD model with a finite difference discretization in time, a dimensionless representation, a mapping for a moving heat source, and a spatial domain non‐separation yields the best approximation to the full order model.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140377274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GMM‐LIME explainable machine learning model for interpreting sensor‐based human gait 用于解释基于传感器的人体步态的 GMM-LIME 可解释机器学习模型

Engineering Reports Pub Date : 2024-02-29 DOI: 10.1002/eng2.12864

M. Mulwa, R. Mwangi, A. Mindila

{"title":"GMM‐LIME explainable machine learning model for interpreting sensor‐based human gait","authors":"M. Mulwa, R. Mwangi, A. Mindila","doi":"10.1002/eng2.12864","DOIUrl":"https://doi.org/10.1002/eng2.12864","url":null,"abstract":"Machine learning (ML) has been used in human gait data for appropriate assistive device prediction. However, their uptake in the medical setup still remains low due to their black box nature which restricts clinicians from understanding how they operate. This has led to the exploration of explainable ML. Studies have recommended local interpretable model‐agnostic explanation (LIME) because it builds sparse linear models around an individual prediction in its local vicinity hence fast and also because it could be used on any ML model. LIME is however, is not always stable. The research aimed to enhance LIME to attain stability by avoid the sampling step through combining Gaussian mixture model (GMM) sampling. To test performance of the GMM‐LIME, supervised ML were recommended because study revealed that their accuracy was above 90% when used on human gait. Neural networks were adopted for GaitRec dataset and Random Forest (RF) was adopted and applied on HugaDB datasets. Maximum accuracies attained were multilayer perceptron (95%) and RF (99%). Graphical results on stability and Jaccard similarity scores were presented for both original LIME and GMM‐LIME. Unlike original LIME, GMM‐LIME produced not only more accurate and reliable but also consistently stable explanations.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140416988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Back analysis of shear strength parameters of slope based on BP neural network and genetic algorithm 基于 BP 神经网络和遗传算法的边坡抗剪强度参数回溯分析

Engineering Reports Pub Date : 2024-02-28 DOI: 10.1002/eng2.12872

Xiaopeng Deng, Xinghua Xiang

{"title":"Back analysis of shear strength parameters of slope based on BP neural network and genetic algorithm","authors":"Xiaopeng Deng, Xinghua Xiang","doi":"10.1002/eng2.12872","DOIUrl":"https://doi.org/10.1002/eng2.12872","url":null,"abstract":"Efficient and accurate acquisition of slope shear strength parameters is the key to slope stability analysis and landslide prevention engineering design. This paper establishes a back analysis method based on uniform design, artificial neural network, and genetic algorithm. It can obtain the shear strength parameters of slopes based on information such as the radius and center coordinates of the slip surface obtained from on‐site investigations. This method has been applied to engineering practice. The research results indicate that the stability of the waste dump slope is most sensitive to the response of the internal friction angle of the loose body, followed by cohesion, and least sensitive to the response of the soil volume weight. This method can effectively reduce the number of network training samples and efficiently and quickly determine the initial weights of the BP (abbreviation for back‐propagation) neural network. This method can efficiently and quickly conduct back analysis to obtain the shear strength parameters of slopes. Using the obtained shear strength parameters for slope stability calculation, the most dangerous slip surface abscissa error, ordinate error, and slip surface radius error are only 3.59%, 0.95%, and 1.83%. It is recommended to promote the back analysis method of shear strength parameters in engineering practice in the future.","PeriodicalId":11735,"journal":{"name":"Engineering Reports","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0