Pub Date : 2023-07-30DOI: 10.1080/02533839.2023.2238776
Jyh-Bin Yang, C. Tseng, Jia-Ruey Chang, Chia-Ming Liu
ABSTRACT Many governments worldwide have recently adopted and recognized the value of performance-based contracts (PBCs) in various sectors. Research teams have developed an innovative PBC for urban road maintenance (URM) and implemented a one-year pilot program in an administrative district of Taipei City, Taiwan, in which the preliminary benefits of the pilot program for stakeholders have been proven but not sufficient for long-term contracts and citywide implementation. This study developed a five-perspective balanced scorecard (BSC) approach, adding an additional social environment perspective to examine the outcomes of strategic planning and performance evaluation for URM. This study organized two focus group interviews with 30 pilot program participants to highlight the key challenges and develop key coping strategies (KCSs). Identified key challenges were transformed into key success factors (KSFs) using the BSC approach. Among identified KCSs, attracting good contractors to participate, setting appropriate performance indicators and thresholds, enhancing the professional ability of the authority staffs, and establishing PBC bidding template documents are the most valuable strategies. The significant outcomes are organized into a correspondence diagram of the KSFs and KCSs, which serve as a benchmark for city road authorities when implementing PBCs to improve the performance of URM.
{"title":"Key challenges and coping strategies for performance-based contracts in Urban road maintenance","authors":"Jyh-Bin Yang, C. Tseng, Jia-Ruey Chang, Chia-Ming Liu","doi":"10.1080/02533839.2023.2238776","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238776","url":null,"abstract":"ABSTRACT Many governments worldwide have recently adopted and recognized the value of performance-based contracts (PBCs) in various sectors. Research teams have developed an innovative PBC for urban road maintenance (URM) and implemented a one-year pilot program in an administrative district of Taipei City, Taiwan, in which the preliminary benefits of the pilot program for stakeholders have been proven but not sufficient for long-term contracts and citywide implementation. This study developed a five-perspective balanced scorecard (BSC) approach, adding an additional social environment perspective to examine the outcomes of strategic planning and performance evaluation for URM. This study organized two focus group interviews with 30 pilot program participants to highlight the key challenges and develop key coping strategies (KCSs). Identified key challenges were transformed into key success factors (KSFs) using the BSC approach. Among identified KCSs, attracting good contractors to participate, setting appropriate performance indicators and thresholds, enhancing the professional ability of the authority staffs, and establishing PBC bidding template documents are the most valuable strategies. The significant outcomes are organized into a correspondence diagram of the KSFs and KCSs, which serve as a benchmark for city road authorities when implementing PBCs to improve the performance of URM.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"99 1","pages":"703 - 712"},"PeriodicalIF":1.1,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77202049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-26DOI: 10.1080/02533839.2023.2238761
N. Rani, S. K. Aggarwal, Sanjeev Kumar
ABSTRACT In this work, the price-forecasting accuracy of an ensemble of seasonal auto-regressive integrated moving average (SARIMA), multiple linear regression (MLR), feed-forward neural network (FFNN), and radial basis function (RBF) network models has been assessed in a single series modeling framework. The methodology involved training the individual models using past data windows of varying sizes and making the forecast for the next five days on a daily rolling basis. The hourly spot price data of the Iberian Electricity Market (MIBEL) is selected as the test case system. All the models have been tested on high and low-volatile data sets to assess their forecasting abilities. The forecast performance has also been assessed by participating in a real-time forecasting competition and comparing it with the earlier models proposed in the literature. The results show that the ensemble model is effective in producing better forecasts. But its forecast accuracy is greatly affected by the size of the training window and the combination of various models. The ensemble of the FFNN and RBF network models performs best when conditions are volatile. Moreover, during volatile periods it is better to use a small window size for training as compared to a large window size.
{"title":"Combining varying training data-based artificial intelligence models for energy price forecasting","authors":"N. Rani, S. K. Aggarwal, Sanjeev Kumar","doi":"10.1080/02533839.2023.2238761","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238761","url":null,"abstract":"ABSTRACT In this work, the price-forecasting accuracy of an ensemble of seasonal auto-regressive integrated moving average (SARIMA), multiple linear regression (MLR), feed-forward neural network (FFNN), and radial basis function (RBF) network models has been assessed in a single series modeling framework. The methodology involved training the individual models using past data windows of varying sizes and making the forecast for the next five days on a daily rolling basis. The hourly spot price data of the Iberian Electricity Market (MIBEL) is selected as the test case system. All the models have been tested on high and low-volatile data sets to assess their forecasting abilities. The forecast performance has also been assessed by participating in a real-time forecasting competition and comparing it with the earlier models proposed in the literature. The results show that the ensemble model is effective in producing better forecasts. But its forecast accuracy is greatly affected by the size of the training window and the combination of various models. The ensemble of the FFNN and RBF network models performs best when conditions are volatile. Moreover, during volatile periods it is better to use a small window size for training as compared to a large window size.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"10 1","pages":"766 - 780"},"PeriodicalIF":1.1,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83712123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-26DOI: 10.1080/02533839.2023.2238765
Wen-Bin Chiu, Luh-Maan Chang
ABSTRACT The engineering design process has fundamentally impacted the life cycle of construction projects and notably, the engineering performance is significantly measured in delivering projects. Previous studies on engineering performance have established the cause–effect relationships between project variables and performance measures. Recently, the building information modeling (BIM) application has reformed how owners execute the engineering, construction, commissioning, and operation in the industry. There has been an increasing focus in finding the benefits of BIM on project performance, however, a minor focus has been given to engineering performance. This paper proposes an artificial neural network (ANN) machine learning multilayer perceptron (MLMP) method and linear regression (LR) that correlates the use of BIM with engineering performance for better construction project assessment. The conclusions reveal a high-level correlation measure between BIM use inputs and engineering performance outputs and further methods for evaluating the engineering performance. Furthermore, we achieved and validated the best prediction by leveraging data from 60 samples using the MLMP and LR models.
{"title":"Machine learning multilayer perceptron method for building information modeling application in engineering performance prediction","authors":"Wen-Bin Chiu, Luh-Maan Chang","doi":"10.1080/02533839.2023.2238765","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238765","url":null,"abstract":"ABSTRACT The engineering design process has fundamentally impacted the life cycle of construction projects and notably, the engineering performance is significantly measured in delivering projects. Previous studies on engineering performance have established the cause–effect relationships between project variables and performance measures. Recently, the building information modeling (BIM) application has reformed how owners execute the engineering, construction, commissioning, and operation in the industry. There has been an increasing focus in finding the benefits of BIM on project performance, however, a minor focus has been given to engineering performance. This paper proposes an artificial neural network (ANN) machine learning multilayer perceptron (MLMP) method and linear regression (LR) that correlates the use of BIM with engineering performance for better construction project assessment. The conclusions reveal a high-level correlation measure between BIM use inputs and engineering performance outputs and further methods for evaluating the engineering performance. Furthermore, we achieved and validated the best prediction by leveraging data from 60 samples using the MLMP and LR models.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"4 1","pages":"713 - 725"},"PeriodicalIF":1.1,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87895063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-25DOI: 10.1080/02533839.2023.2238789
Mohammad Rizwan Bhina, A. H. Wibowo, Kuang‐Yen Liu, Waseem Khan, M. Salim
ABSTRACT The bioconcrete technology on cementitious composites over the past years has brought us the application of microbes on concrete materials with self-healing ability. Certain microbes, such as bacteria, algae, and fungi, have been identified as able to enhance the strength of concrete and other properties, including durability, resistance, self-healing, and others. The key ability of those microbes is their capability to induce calcite biomineralization, which is also known as microbiologically induced calcium carbonate precipitation. This ability allows microbes to produce calcites under specific biochemical reactions comparable with the bonding material in cement concrete, thus enhancing concrete properties and healing microcracks before further propagation occurs. However, each microbe has its own characteristic that brings certain challenges and benefits to its application, considering the reactants, products, availability, survivability, sustainability, etc. Although many studies have been done in this field, the microbes, cultivations treatments, testing methods, and obtained outputs vary between one finding and another. This paper discloses both the fundamental and state-of-the-art bioconcrete findings for different types of microbes.
{"title":"Microbes in bioconcrete technology: exploring the fundamentals and state-of-the-art findings for advancing civil engineering","authors":"Mohammad Rizwan Bhina, A. H. Wibowo, Kuang‐Yen Liu, Waseem Khan, M. Salim","doi":"10.1080/02533839.2023.2238789","DOIUrl":"https://doi.org/10.1080/02533839.2023.2238789","url":null,"abstract":"ABSTRACT The bioconcrete technology on cementitious composites over the past years has brought us the application of microbes on concrete materials with self-healing ability. Certain microbes, such as bacteria, algae, and fungi, have been identified as able to enhance the strength of concrete and other properties, including durability, resistance, self-healing, and others. The key ability of those microbes is their capability to induce calcite biomineralization, which is also known as microbiologically induced calcium carbonate precipitation. This ability allows microbes to produce calcites under specific biochemical reactions comparable with the bonding material in cement concrete, thus enhancing concrete properties and healing microcracks before further propagation occurs. However, each microbe has its own characteristic that brings certain challenges and benefits to its application, considering the reactants, products, availability, survivability, sustainability, etc. Although many studies have been done in this field, the microbes, cultivations treatments, testing methods, and obtained outputs vary between one finding and another. This paper discloses both the fundamental and state-of-the-art bioconcrete findings for different types of microbes.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"135 1","pages":"726 - 736"},"PeriodicalIF":1.1,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74519280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-19DOI: 10.1080/02533839.2023.2227868
A. Mabrouk, Olfa Ksentini, N. Feki, M. Abbes, M. Haddar
ABSTRACT The dynamic behavior of an active magnetic bearing (AMB) mounted rotor was investigated through an analytical study conducted as part of this research work. A biased AMB model was developed, in which six electromagnets were supplied with a bias current I0 , and their respective control currents. The magnetic load was obtained through a differentiated driving mode based on the virtual displacement principle. Motion equations were formulated, and simulations were performed to investigate the dynamic response of the misaligned AMB mounted on a high-speed rotor, considering rigid body motion, elastic motion, gyroscopic effect, shear deformation effect, and internal damping. Subsequently, a nonlinear novel direct Lyapunov-based controller derived from an energetic approach was applied and compared to an optimal regulator based on Hamilton-Jacobi-Bellman (HJB) equations. The Linear Quadratic Riccati (LQR) method required less energy, as expected, but the Lyapunov method was more efficient and demonstrated its ability to asymptotically control the plant instability as well as the misalignment effect. Finally, the method was applied to a milling machine spindle, and the controller was still able not only to handle the cutting forces generating disturbances but also to overcome the defect effect without any oscillation.
{"title":"Nonlinear Lyapunov-based control of a misaligned heteropolar magnetic bearing system","authors":"A. Mabrouk, Olfa Ksentini, N. Feki, M. Abbes, M. Haddar","doi":"10.1080/02533839.2023.2227868","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227868","url":null,"abstract":"ABSTRACT The dynamic behavior of an active magnetic bearing (AMB) mounted rotor was investigated through an analytical study conducted as part of this research work. A biased AMB model was developed, in which six electromagnets were supplied with a bias current I0 , and their respective control currents. The magnetic load was obtained through a differentiated driving mode based on the virtual displacement principle. Motion equations were formulated, and simulations were performed to investigate the dynamic response of the misaligned AMB mounted on a high-speed rotor, considering rigid body motion, elastic motion, gyroscopic effect, shear deformation effect, and internal damping. Subsequently, a nonlinear novel direct Lyapunov-based controller derived from an energetic approach was applied and compared to an optimal regulator based on Hamilton-Jacobi-Bellman (HJB) equations. The Linear Quadratic Riccati (LQR) method required less energy, as expected, but the Lyapunov method was more efficient and demonstrated its ability to asymptotically control the plant instability as well as the misalignment effect. Finally, the method was applied to a milling machine spindle, and the controller was still able not only to handle the cutting forces generating disturbances but also to overcome the defect effect without any oscillation.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"87 1","pages":"563 - 579"},"PeriodicalIF":1.1,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81238488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-03DOI: 10.1080/02533839.2023.2227869
Thon-Da Nguyen, Hoanh-Su Le, Trung-Thanh Ho, Quang-Hung Nguyen, H. Truong
ABSTRACT RPA is an emerging technology today. Thanks to this, businesses have saved much time and labor costs. This article aims to improve the performance of employees in creating sales orders on ERP Systems, especially Fiori, a web-based ERP system. The article proposes an RPA framework to support employees in creating sales orders faster than usual. In the article, the Uipath, one of the well-known tools for robotic process automation, is used. Thanks to the UiPath, we design a framework and RPA system to create faster and more effective sales orders. Experimental results show that our robotic process automation system is three times faster than the time it takes for students who are used to the process and manual input for the order and payment process and ten times more than the time taken by students who are not familiar with the process and manual information for the order and payment process.
{"title":"Design an RPA model for the fulfillment process in an SAP ERP system","authors":"Thon-Da Nguyen, Hoanh-Su Le, Trung-Thanh Ho, Quang-Hung Nguyen, H. Truong","doi":"10.1080/02533839.2023.2227869","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227869","url":null,"abstract":"ABSTRACT RPA is an emerging technology today. Thanks to this, businesses have saved much time and labor costs. This article aims to improve the performance of employees in creating sales orders on ERP Systems, especially Fiori, a web-based ERP system. The article proposes an RPA framework to support employees in creating sales orders faster than usual. In the article, the Uipath, one of the well-known tools for robotic process automation, is used. Thanks to the UiPath, we design a framework and RPA system to create faster and more effective sales orders. Experimental results show that our robotic process automation system is three times faster than the time it takes for students who are used to the process and manual input for the order and payment process and ten times more than the time taken by students who are not familiar with the process and manual information for the order and payment process.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"53 1","pages":"683 - 691"},"PeriodicalIF":1.1,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85056844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-29DOI: 10.1080/02533839.2023.2227879
Haojie Zhang, Tiantian Yang, Zhibao Su
ABSTRACT Recently, multiple unmanned ground vehicles (multi-UGVs) have attracted a great deal of attention as viable solutions to a wide variety of military and civilian applications. Among many topics in the field of multi-UGVs, the formation cooperative reconnaissance is of great importance, which helps to concentrate firepower to suppress and eliminate the suspicious enemies. This paper presents a formation cooperative reconnaissance strategy for multi-UGVs to explore all the unknown areas in the environment, which is similar to the human soldiers paraded on patrol. First, the frontier-based exploration algorithm is proposed to get the reconnaissance targets in the unknown areas which is modeled as a global grid map. Then, A*-based multi-target path planning is applied to find the right exploring order of reconnaissance targets. Lastly, the distance-angle leader-follower formation control laws are designed to make the multi-UGVs rapidly form a desired formation after assigning a reconnaissance goal. The experiment results show that all the reconnaissance targets are searched and explored. The follower UGVs are gradually adjusting their position and orientation to follow the leader UGV while moving to each reconnaissance target sequentially. The motion of the multi-UGVs is reliable. Especially, the average position and heading errors of formation are less than 0.2%.
{"title":"A formation cooperative reconnaissance strategy for multi-UGVs in partially unknown environment","authors":"Haojie Zhang, Tiantian Yang, Zhibao Su","doi":"10.1080/02533839.2023.2227879","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227879","url":null,"abstract":"ABSTRACT Recently, multiple unmanned ground vehicles (multi-UGVs) have attracted a great deal of attention as viable solutions to a wide variety of military and civilian applications. Among many topics in the field of multi-UGVs, the formation cooperative reconnaissance is of great importance, which helps to concentrate firepower to suppress and eliminate the suspicious enemies. This paper presents a formation cooperative reconnaissance strategy for multi-UGVs to explore all the unknown areas in the environment, which is similar to the human soldiers paraded on patrol. First, the frontier-based exploration algorithm is proposed to get the reconnaissance targets in the unknown areas which is modeled as a global grid map. Then, A*-based multi-target path planning is applied to find the right exploring order of reconnaissance targets. Lastly, the distance-angle leader-follower formation control laws are designed to make the multi-UGVs rapidly form a desired formation after assigning a reconnaissance goal. The experiment results show that all the reconnaissance targets are searched and explored. The follower UGVs are gradually adjusting their position and orientation to follow the leader UGV while moving to each reconnaissance target sequentially. The motion of the multi-UGVs is reliable. Especially, the average position and heading errors of formation are less than 0.2%.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"27 1","pages":"551 - 562"},"PeriodicalIF":1.1,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82059278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-29DOI: 10.1080/02533839.2023.2227876
Anil Chourasiya, C. M. Krishna, S. Hsiau
ABSTRACT Optimization of parameters of electrochemical machining (ECM) has attracted attention of many researchers of late, for making use of the full capability of the machine and in that process, material removal rate (MRR), over cut diameter (OC-Diameter), and over cut depth (OC-Depth) can be improved. With this objective, in this work, ECM set up has been made, experiments are conducted systematically, and process parameters are optimized by applying hybrid Technique of Order Preference by Similarity to the Ideal Solution-JAYA algorithm. Response surface methodology (RSM) based experimental design is considered with AISI P20+Ni steel as anode, tungsten wire as cathode, and NaCl as electrolyte. Regression models developed from RSM are validated successfully by conducting additional set of experiments and predictive values are compared with actual results. MATLAB code is prepared to determine optimum combination of machining process parameters applying TOPSIS-JAYA algorithm in multi-objective optimization context. Results indicated that optimum values are obtained for higher values of voltage, feed, electrolyte concentration, and lower value of tool diameter. The weights of MRR, OC-Depth, and OC-Diameter are varied in TOPSIS and sensitivity analysis is carried out.
{"title":"A novel approach of RSM-based TOPSIS-JAYA algorithm for optimization of ECM process parameters","authors":"Anil Chourasiya, C. M. Krishna, S. Hsiau","doi":"10.1080/02533839.2023.2227876","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227876","url":null,"abstract":"ABSTRACT Optimization of parameters of electrochemical machining (ECM) has attracted attention of many researchers of late, for making use of the full capability of the machine and in that process, material removal rate (MRR), over cut diameter (OC-Diameter), and over cut depth (OC-Depth) can be improved. With this objective, in this work, ECM set up has been made, experiments are conducted systematically, and process parameters are optimized by applying hybrid Technique of Order Preference by Similarity to the Ideal Solution-JAYA algorithm. Response surface methodology (RSM) based experimental design is considered with AISI P20+Ni steel as anode, tungsten wire as cathode, and NaCl as electrolyte. Regression models developed from RSM are validated successfully by conducting additional set of experiments and predictive values are compared with actual results. MATLAB code is prepared to determine optimum combination of machining process parameters applying TOPSIS-JAYA algorithm in multi-objective optimization context. Results indicated that optimum values are obtained for higher values of voltage, feed, electrolyte concentration, and lower value of tool diameter. The weights of MRR, OC-Depth, and OC-Diameter are varied in TOPSIS and sensitivity analysis is carried out.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"151 1","pages":"628 - 637"},"PeriodicalIF":1.1,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80348631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-29DOI: 10.1080/02533839.2023.2227875
S. Balamurugan, K. Jayakumar, C. Nandakumar, Hsiau Shu-San, Liu, De-Shin
ABSTRACT Welding is used for fabricating various components to increase the application of aluminum alloys. When compared to fusion welding, friction stir welding (FSW) is used to join non-ferrous and ferrous with similar and dissimilar materials with fewer defects. In the present work, FSW was carried out between 5 mm thick plates of solid solution-strengthened AA 5052-H32 and precipitate-strengthened AA 6061-T6 alloys. The plates were welded at tool rotational speeds (TRS) of 800, 950, and 1100 rpm. Furthermore, a salt spray test was conducted on both base metals and FSW joints. The scanning electron microscope was accustomed to examining the microstructure of the base metals and different zones. Mechanical characterization was performed to determine the welds’ strength and hardness. The phase examination was then performed on the weld nugget zone using X-Ray Diffraction (XRD). To determine the mode of failure, the tensile fracture surfaces of the welded samples were inspected. The study found that the joint prepared at 950 rpm yielded maximum tensile strength of 174.3 MPa, % elongation of 13.8% and a higher hardness of 72 HV related to other joints. The corrosion test results exposed an enhancement in corrosion resistance of maximum tensile strength obtained from the welded joint
{"title":"Investigation of mechanical, metallurgical and corrosion characteristics of friction stir welded dissimilar AA 5052-H32 and AA 6061-T6 joints","authors":"S. Balamurugan, K. Jayakumar, C. Nandakumar, Hsiau Shu-San, Liu, De-Shin","doi":"10.1080/02533839.2023.2227875","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227875","url":null,"abstract":"ABSTRACT Welding is used for fabricating various components to increase the application of aluminum alloys. When compared to fusion welding, friction stir welding (FSW) is used to join non-ferrous and ferrous with similar and dissimilar materials with fewer defects. In the present work, FSW was carried out between 5 mm thick plates of solid solution-strengthened AA 5052-H32 and precipitate-strengthened AA 6061-T6 alloys. The plates were welded at tool rotational speeds (TRS) of 800, 950, and 1100 rpm. Furthermore, a salt spray test was conducted on both base metals and FSW joints. The scanning electron microscope was accustomed to examining the microstructure of the base metals and different zones. Mechanical characterization was performed to determine the welds’ strength and hardness. The phase examination was then performed on the weld nugget zone using X-Ray Diffraction (XRD). To determine the mode of failure, the tensile fracture surfaces of the welded samples were inspected. The study found that the joint prepared at 950 rpm yielded maximum tensile strength of 174.3 MPa, % elongation of 13.8% and a higher hardness of 72 HV related to other joints. The corrosion test results exposed an enhancement in corrosion resistance of maximum tensile strength obtained from the welded joint","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"33 1","pages":"601 - 614"},"PeriodicalIF":1.1,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88153487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-29DOI: 10.1080/02533839.2023.2227871
Pengru Wei, Ziyang Zhang, Xianghai Meng
ABSTRACT As the awareness of environmental protection and safety becomes increasingly important in route design, it is crucial to emphasize line position optimization of mountain roads in sloped sections. In this study, we devised a combined optimization factor (F), which includes the displacement mutation factor (F 1 ), two types of energy mutation factors (F 2 and F 3 ), and the regional earthwork balance factor (F 4 ), to measure the optimization options. We then applied this combined factor to a rural road in Gansu Province, China, to calculate and compare the different line position optimization results according to numerical calculation models. This method allowed the selection of a better optimization option (b = 2.5 m) as the final result. From a short-term perspective, the proposed method can ensure the slope stability and balance earthwork quantities in mountain road sections, as well as promote environmental protection. In addition, this method can provide an optimization concept for long-term application to engineering practices.
{"title":"Line position optimization method for mountain roads based on slope stability and earthwork balance","authors":"Pengru Wei, Ziyang Zhang, Xianghai Meng","doi":"10.1080/02533839.2023.2227871","DOIUrl":"https://doi.org/10.1080/02533839.2023.2227871","url":null,"abstract":"ABSTRACT As the awareness of environmental protection and safety becomes increasingly important in route design, it is crucial to emphasize line position optimization of mountain roads in sloped sections. In this study, we devised a combined optimization factor (F), which includes the displacement mutation factor (F 1 ), two types of energy mutation factors (F 2 and F 3 ), and the regional earthwork balance factor (F 4 ), to measure the optimization options. We then applied this combined factor to a rural road in Gansu Province, China, to calculate and compare the different line position optimization results according to numerical calculation models. This method allowed the selection of a better optimization option (b = 2.5 m) as the final result. From a short-term perspective, the proposed method can ensure the slope stability and balance earthwork quantities in mountain road sections, as well as promote environmental protection. In addition, this method can provide an optimization concept for long-term application to engineering practices.","PeriodicalId":17313,"journal":{"name":"Journal of the Chinese Institute of Engineers","volume":"34 1","pages":"661 - 673"},"PeriodicalIF":1.1,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80128404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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