Implementing shift work is a common practice to boost productivity in various industries. Despite its advantages in sustaining continuous business operations, shift work has negative effects on the physical health of its employees. Both immediate and long-term health effects may result from this kind of work. Acute health impacts of working in shifts include fatigue and loss of focus at work. However, it is unclear, whether there are differences between shift work and non-shift work in relation to sleep and fatigue, particularly among Indonesian coal mining workers. This cross-sectional study collected field data from a coal mining company in East Kalimantan, Indonesia, using the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). This study included 397 respondents classified as non-shift, 2-shift and 3-shift workers. It was found that (2-shift and 3-shift) sleep for around 30 minutes shorter than non-shift workers. The coal miners with the lowest sleep efficiency were those who worked two shifts. There are significance differences between sleep duration, sleep efficiency, educational attainment, working task, sleep quality, and fatigue among non-shift, 2-shift, and 3-shift workers. Working on shifts increases the level of fatigue and sleepiness at work. Coal mining operations are required to operate continuously, and working with shifts is inevitable. In contrast, shift work increases the danger of an accident and has a negative impact on one's health. Thus, to mitigate the risks associated with shift work, it is essential to have a well-managed shift work schedule that considers the unique characteristics of each worker.
{"title":"Overview of Sleep and Fatigue at Indonesian Coal Mining Workers Working with Shift Work","authors":"Stevan Deby Anbiya Muhamad Sunarno, Keneth Sedilla, Takayuki Nishimura, Takafumi Maeda","doi":"10.4028/p-oroux1","DOIUrl":"https://doi.org/10.4028/p-oroux1","url":null,"abstract":"Implementing shift work is a common practice to boost productivity in various industries. Despite its advantages in sustaining continuous business operations, shift work has negative effects on the physical health of its employees. Both immediate and long-term health effects may result from this kind of work. Acute health impacts of working in shifts include fatigue and loss of focus at work. However, it is unclear, whether there are differences between shift work and non-shift work in relation to sleep and fatigue, particularly among Indonesian coal mining workers. This cross-sectional study collected field data from a coal mining company in East Kalimantan, Indonesia, using the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). This study included 397 respondents classified as non-shift, 2-shift and 3-shift workers. It was found that (2-shift and 3-shift) sleep for around 30 minutes shorter than non-shift workers. The coal miners with the lowest sleep efficiency were those who worked two shifts. There are significance differences between sleep duration, sleep efficiency, educational attainment, working task, sleep quality, and fatigue among non-shift, 2-shift, and 3-shift workers. Working on shifts increases the level of fatigue and sleepiness at work. Coal mining operations are required to operate continuously, and working with shifts is inevitable. In contrast, shift work increases the danger of an accident and has a negative impact on one's health. Thus, to mitigate the risks associated with shift work, it is essential to have a well-managed shift work schedule that considers the unique characteristics of each worker.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698455","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}
License plates play an important role in vehicle identification in a variety of applications such as traffic safety, parking management, and traffic enforcement. In this study, we propose the development of license plate recognition applications using optical character recognition (OCR) and convolutional neural network (CNN) techniques. The OCR method is used to recognize characters on license plates and the CNN method is used to recognize license plates in images. The purpose of this research is to develop a system that can automatically recognize and recognize license plates in images. The OCR method accurately recognizes the characters on the license plate. Additionally, the CNN method is employed to detect license plates with good accuracy, even in various formats of license plates. The proposed methods in this research are implemented in the form of an application using the Python programming language. The application takes vehicle images as input and produces text recognition of the license plate as output. Furthermore, the application can also display additional information such as date, time, location, and detected vehicle type. Through this research, it is expected that the license plate recognition application using OCR and CNN methods can contribute to improving efficiency and reliability in automatic license plate recognition. Moreover, this application also has the potential to be used in various security applications, traffic monitoring, and automatic vehicle recognition
{"title":"Application of Optical Character Recognizer Prototype and Convulsion Neural Network for Vehicle License Plate Detection","authors":"Fuad Achmadi, Fathur Rachman Nufaily, Afdi Fauzul Bahar, Shofwatul Uyun","doi":"10.4028/p-2fj9dn","DOIUrl":"https://doi.org/10.4028/p-2fj9dn","url":null,"abstract":"License plates play an important role in vehicle identification in a variety of applications such as traffic safety, parking management, and traffic enforcement. In this study, we propose the development of license plate recognition applications using optical character recognition (OCR) and convolutional neural network (CNN) techniques. The OCR method is used to recognize characters on license plates and the CNN method is used to recognize license plates in images. The purpose of this research is to develop a system that can automatically recognize and recognize license plates in images. The OCR method accurately recognizes the characters on the license plate. Additionally, the CNN method is employed to detect license plates with good accuracy, even in various formats of license plates. The proposed methods in this research are implemented in the form of an application using the Python programming language. The application takes vehicle images as input and produces text recognition of the license plate as output. Furthermore, the application can also display additional information such as date, time, location, and detected vehicle type. Through this research, it is expected that the license plate recognition application using OCR and CNN methods can contribute to improving efficiency and reliability in automatic license plate recognition. Moreover, this application also has the potential to be used in various security applications, traffic monitoring, and automatic vehicle recognition","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140695254","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}
Shofwatul Uyun, Nida Muhliya Barkah, Irma Eryanti Putri, Nur Faridah
Cancer is the second most common cause of death in the world. WHO notes, deaths caused by cancer will reach 10 million cases in 2021. Of many cancers, breast cancer is a cancer with the most cases. Early diagnosis of breast cancer plays an important role in the treatment process. Various imaging methods, including magnetic mammography, are used to diagnose breast cancer. With the help of machine learning, the process of diagnosing breast cancer with mammography images is more precise and accurate. Various machine-learning methods have been developed by researchers to diagnose breast cancer. Among them is a deep learning method that can achieve good feature representation and can solve the problem of image classification and object localization. Through a systematic literature review, this research collects and analyzes related studies regarding the classification of breast cancer that have been done previously. Several aspects that will be evaluated include the methods used, data sources used, and accuracy of the method used. This research is expected to provide clear knowledge about the advantages and disadvantages of using artificial intelligence techniques for breast cancer classification. The results of this study can provide insight for researchers and medical practitioners in the further development and application of deep learning methods in the diagnosis and classification of breast cancer.
癌症是全球第二大常见死因。世卫组织指出，到 2021 年，因癌症死亡的人数将达到 1 000 万例。在众多癌症中，乳腺癌是发病率最高的癌症。乳腺癌的早期诊断在治疗过程中起着重要作用。包括乳腺磁共振成像在内的各种成像方法被用于诊断乳腺癌。在机器学习的帮助下，利用乳腺 X 射线图像诊断乳腺癌的过程变得更加精确和准确。研究人员开发了多种机器学习方法来诊断乳腺癌。其中，深度学习方法可以实现良好的特征表示，并能解决图像分类和对象定位问题。本研究通过系统的文献综述，收集并分析了以往关于乳腺癌分类的相关研究。评估的几个方面包括所使用的方法、所使用的数据源以及所使用方法的准确性。本研究有望提供有关使用人工智能技术进行乳腺癌分类的优缺点的明确知识。本研究的结果可为研究人员和医疗从业人员进一步开发和应用深度学习方法进行乳腺癌诊断和分类提供启示。
{"title":"A Systematic Literature Review on the Methods of Breast Cancer Classification","authors":"Shofwatul Uyun, Nida Muhliya Barkah, Irma Eryanti Putri, Nur Faridah","doi":"10.4028/p-t12vxu","DOIUrl":"https://doi.org/10.4028/p-t12vxu","url":null,"abstract":"Cancer is the second most common cause of death in the world. WHO notes, deaths caused by cancer will reach 10 million cases in 2021. Of many cancers, breast cancer is a cancer with the most cases. Early diagnosis of breast cancer plays an important role in the treatment process. Various imaging methods, including magnetic mammography, are used to diagnose breast cancer. With the help of machine learning, the process of diagnosing breast cancer with mammography images is more precise and accurate. Various machine-learning methods have been developed by researchers to diagnose breast cancer. Among them is a deep learning method that can achieve good feature representation and can solve the problem of image classification and object localization. Through a systematic literature review, this research collects and analyzes related studies regarding the classification of breast cancer that have been done previously. Several aspects that will be evaluated include the methods used, data sources used, and accuracy of the method used. This research is expected to provide clear knowledge about the advantages and disadvantages of using artificial intelligence techniques for breast cancer classification. The results of this study can provide insight for researchers and medical practitioners in the further development and application of deep learning methods in the diagnosis and classification of breast cancer.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140694636","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}
Indro Prakoso, Anriady Miftahul Putra, Maria Krisnawati, S. Waluyo
Due to the good potential of Holzewig products, which resemble the function of wood, PT. Pracetak Bangun Indonesia plans to make finished products ready for use by the general public. Because there are several constraints in the production process, such as product design, the product manufacturing process, and the assembly process, planning and design processes are needed. one that can be used to make production process choices, namely the Design for Manufacture and Assembly (DFMA) and Activity-Based Costing (ABC) methods for calculating the cost of production. By using the DFMA method to find proposals for the production process, the process of making a design proposal is not much different from the process of making a set of chairs and a dining table made of wood; it's just that there are some differences due to the different materials used, so that the types of tools and assembly materials are different. The cost of goods sold obtained for making a set of chairs and tables consisting of 2 chairs and 1 table is 987,333.73. Holzewig material can be used in place of wood as an alternative for furniture products because its overall weighing value is just 0,001 less than that of wood.
{"title":"Design for Manufacturing and Assembly for Holzwig-Based Dining Chairs and Table","authors":"Indro Prakoso, Anriady Miftahul Putra, Maria Krisnawati, S. Waluyo","doi":"10.4028/p-2egadr","DOIUrl":"https://doi.org/10.4028/p-2egadr","url":null,"abstract":"Due to the good potential of Holzewig products, which resemble the function of wood, PT. Pracetak Bangun Indonesia plans to make finished products ready for use by the general public. Because there are several constraints in the production process, such as product design, the product manufacturing process, and the assembly process, planning and design processes are needed. one that can be used to make production process choices, namely the Design for Manufacture and Assembly (DFMA) and Activity-Based Costing (ABC) methods for calculating the cost of production. By using the DFMA method to find proposals for the production process, the process of making a design proposal is not much different from the process of making a set of chairs and a dining table made of wood; it's just that there are some differences due to the different materials used, so that the types of tools and assembly materials are different. The cost of goods sold obtained for making a set of chairs and tables consisting of 2 chairs and 1 table is 987,333.73. Holzewig material can be used in place of wood as an alternative for furniture products because its overall weighing value is just 0,001 less than that of wood.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140697290","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}
In order to have a good workspace design, it takes a series of activities consisting of several stages. Starting from the design planning stage, design testing/ experimentation, design analysis, selection of the best design, to design implementation. This research was conducted to evaluate workspace designs using the Taguchi method. In this study, four factors were determined as elements of the workspace environment: the level of lighting, noise, temperature, and aroma of the room. Taguchi orthogonal array design produces 8 experiments obtained from a combination of 4 factors and 2 levels. Experimental activities in the form of the influence of the physical work environment on the resulting typing speed. The research sample in each experiment was 30 responses. The experimental results were analyzed using the Taguchi method with the help of Minitab software. In the analysis of the larger the better factor, based on the ranking, it is found that three factors have amajor influence on typing speed: lighting using room lights, not adding sound (noise), and regulating the room temperature to keep it cool. The ANOVA results show that lighting, noise, and temperature factors significantly affect typing speed. It is known that the calculated F value of the lighting factor is 42.10, noise is 12.22 and temperature is 14.45, all of which are greater than the F table of 4.07. The results of this study can be used as managerial evaluation material for companies to design workspaces by prioritizing bright lighting, not too noisy, and cool temperature of room.
要想设计出一个好的工作空间，需要开展一系列活动，其中包括几个阶段。从设计规划阶段开始，到设计测试/实验、设计分析、选择最佳设计，再到设计实施。本研究采用田口方法对工作空间设计进行评估。在这项研究中，有四个因素被确定为工作空间环境的要素：房间的照明水平、噪音、温度和香气。田口正交阵列设计从 4 个因素和 2 个水平的组合中产生 8 个实验。实验活动的形式是物理工作环境对由此产生的打字速度的影响。每个实验的研究样本为 30 个响应。在 Minitab 软件的帮助下，使用田口方法对实验结果进行了分析。在分析越大越好的因素时，根据排序，发现有三个因素对打字速度有主要影响：使用室内灯光照明、不增加声音（噪音）和调节室内温度以保持凉爽。方差分析结果表明，照明、噪音和温度因素对打字速度有显著影响。据了解，照明因素的计算 F 值为 42.10，噪音为 12.22，温度为 14.45，均大于 F 表中的 4.07。这项研究的结果可作为管理评价材料，供企业在设计工作空间时优先考虑明亮的照明、不太嘈杂的噪音和凉爽的室温。
{"title":"Implementation of Taguchi Method to Assessment Workspace Design","authors":"Chadziqatun Najilatil Mazda, Ira Setyaningsih","doi":"10.4028/p-erin9z","DOIUrl":"https://doi.org/10.4028/p-erin9z","url":null,"abstract":"In order to have a good workspace design, it takes a series of activities consisting of several stages. Starting from the design planning stage, design testing/ experimentation, design analysis, selection of the best design, to design implementation. This research was conducted to evaluate workspace designs using the Taguchi method. In this study, four factors were determined as elements of the workspace environment: the level of lighting, noise, temperature, and aroma of the room. Taguchi orthogonal array design produces 8 experiments obtained from a combination of 4 factors and 2 levels. Experimental activities in the form of the influence of the physical work environment on the resulting typing speed. The research sample in each experiment was 30 responses. The experimental results were analyzed using the Taguchi method with the help of Minitab software. In the analysis of the larger the better factor, based on the ranking, it is found that three factors have amajor influence on typing speed: lighting using room lights, not adding sound (noise), and regulating the room temperature to keep it cool. The ANOVA results show that lighting, noise, and temperature factors significantly affect typing speed. It is known that the calculated F value of the lighting factor is 42.10, noise is 12.22 and temperature is 14.45, all of which are greater than the F table of 4.07. The results of this study can be used as managerial evaluation material for companies to design workspaces by prioritizing bright lighting, not too noisy, and cool temperature of room.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140694854","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}
Studying the Quran and the Hadith side by side can help us understand that the two are fundamental and two main resources and essential wellspring of Islamic knowledge and law. There are many debates about similarities between those holy scriptures from many famous preachers and scholars. Technology can be used as an alternative solution to solve these problems. There are at least two overall approaches to determine text-similarity; the vector space model and semantic similarity —define the similarity or the distance. The similarity between words is often represented by a similarity between concepts associated with the words. This paper presents a method for identifying semantic sentence similarity among each sentence from each dataset using semantic relation of word senses between different synsets using WordNet path similarity and Wu-Palmer similarity. This method is also evaluated and has acceptable accuracy. Although both Path Similarity and Wu-Palmer Similarity successfully identify the similarity between two sentences; still, they have slightly different accuracy. The Wu-Palmer similarity is superior to path similarity when identifying sentences between Quran Sahih International and An-Nawawi Forty Hadith Translation. Looking ahead, we might be able to improve our results by using multipliers such as reverse document frequency (TF-IDF), combining the results of several steps in WordNet similarity, using vector space models, and optimal matching methods.
{"title":"Exploring Sacred Texts: Leveraging Computer Science for Dataset Similarity Analysis in Religious Studies","authors":"Muhammad Raffiudin","doi":"10.4028/p-ke3xms","DOIUrl":"https://doi.org/10.4028/p-ke3xms","url":null,"abstract":"Studying the Quran and the Hadith side by side can help us understand that the two are fundamental and two main resources and essential wellspring of Islamic knowledge and law. There are many debates about similarities between those holy scriptures from many famous preachers and scholars. Technology can be used as an alternative solution to solve these problems. There are at least two overall approaches to determine text-similarity; the vector space model and semantic similarity —define the similarity or the distance. The similarity between words is often represented by a similarity between concepts associated with the words. This paper presents a method for identifying semantic sentence similarity among each sentence from each dataset using semantic relation of word senses between different synsets using WordNet path similarity and Wu-Palmer similarity. This method is also evaluated and has acceptable accuracy. Although both Path Similarity and Wu-Palmer Similarity successfully identify the similarity between two sentences; still, they have slightly different accuracy. The Wu-Palmer similarity is superior to path similarity when identifying sentences between Quran Sahih International and An-Nawawi Forty Hadith Translation. Looking ahead, we might be able to improve our results by using multipliers such as reverse document frequency (TF-IDF), combining the results of several steps in WordNet similarity, using vector space models, and optimal matching methods.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140698435","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}
PT. XYZ is a company that produces plywood, which in the production process uses many machines and equipment that have high potential hazards if not controlled. Key performance indicator (KPI) is a performance indicator measuring a length, processing time, tool life, and a measure of performance needed. The method used to normalize the value is Snorm De Boer (SNORM), where the lowest value will be given a value of 0 and the highest value will be given a value of 100. The purpose of this research is to measure the OSH performance on the production floor of PT. XYZ and could provide improvement suggestions for OSH performance on the production floor at PT. XYZ based on the level of value obtained. The results: total value of OSH performance in rotary area is 21.00, press dryer area is 43.91, repair area is 60.59, glue spreader area is 56.61, cold press area is 47.08, hot press area is 55.76, sander calibration area is 48.57, sizer area is 69.86 and sander finish goods area is 84.25. The rotary area has the lowest OSH performance value because there is a process that has a high risk of work accidents but is not accompanied by OSH supporting facilities from the company. The proposed improvement of this research is cultivating the use of Personal Protective Equipment (PPE), administrative control which includes policies, SOP, safety sign, work and safety training, regular inspection and maintenance, and applicate 5S, also engineering control by creating a special soundproof room for machines with high noise levels.
{"title":"OHS Performance Assessment on Production Floor at PT. XYZ","authors":"Nurlaila Praditasari Goesman, Anisa Nurjannah, Indro Prakoso","doi":"10.4028/p-2w9zmr","DOIUrl":"https://doi.org/10.4028/p-2w9zmr","url":null,"abstract":"PT. XYZ is a company that produces plywood, which in the production process uses many machines and equipment that have high potential hazards if not controlled. Key performance indicator (KPI) is a performance indicator measuring a length, processing time, tool life, and a measure of performance needed. The method used to normalize the value is Snorm De Boer (SNORM), where the lowest value will be given a value of 0 and the highest value will be given a value of 100. The purpose of this research is to measure the OSH performance on the production floor of PT. XYZ and could provide improvement suggestions for OSH performance on the production floor at PT. XYZ based on the level of value obtained. The results: total value of OSH performance in rotary area is 21.00, press dryer area is 43.91, repair area is 60.59, glue spreader area is 56.61, cold press area is 47.08, hot press area is 55.76, sander calibration area is 48.57, sizer area is 69.86 and sander finish goods area is 84.25. The rotary area has the lowest OSH performance value because there is a process that has a high risk of work accidents but is not accompanied by OSH supporting facilities from the company. The proposed improvement of this research is cultivating the use of Personal Protective Equipment (PPE), administrative control which includes policies, SOP, safety sign, work and safety training, regular inspection and maintenance, and applicate 5S, also engineering control by creating a special soundproof room for machines with high noise levels.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140696763","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}
S. Harikrishnan, Paulo Cachim, Hafiz Muhammad Ali, Kamrul Hasan Talukder, Md. Shamim Ahsan, K.M. Pandey, H. Oztop
{"title":"International Conference on Functional Materials for Energy and Manufacturing (ICFMEM)","authors":"S. Harikrishnan, Paulo Cachim, Hafiz Muhammad Ali, Kamrul Hasan Talukder, Md. Shamim Ahsan, K.M. Pandey, H. Oztop","doi":"10.4028/b-ld7lro","DOIUrl":"https://doi.org/10.4028/b-ld7lro","url":null,"abstract":"","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140747449","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}
Nickel superalloys are being used in applications subjected due to its excellent creep and oxidation behavior. The CM247LC nickel based super alloy is considered due to its exceptional combination of high-temperature strength, creep resistance, oxidation/corrosion resistance, and mechanical properties suitable for applications, particularly in the aerospace industry. Though, unfavorable tribological behavior is primary challenge in gas turbine applications. Nickel-based superalloy CM-247LC was manufactured through laser powder bed fusion process under two different conditions. X-ray diffraction analysis (XRD) was carried out to study phases present in as built CM247LC alloy. Microhardness and tribological characteristics were investigated on the as built alloy. XRD spectrum was predominantly observed with γ and γ′ peaks. Presence of γ′ and MC carbides offered strengthening to the as built CM247LC alloy which enhanced the hardness and tribological properties. The wear rate of samples gets increased with increase in load applied during the wear test. Worn out surfaces were examined and it is observed that the predominant type of wear mechanisms as adhesion and abrasion.
镍基超级合金因其优异的抗蠕变和抗氧化性能而被广泛应用。CM247LC 镍基超级合金具有优异的高温强度、抗蠕变性、抗氧化性/抗腐蚀性和机械性能，适合各种应用，尤其是航空航天工业。不过，不利的摩擦学行为是燃气轮机应用中的主要挑战。镍基超合金 CM-247LC 是在两种不同条件下通过激光粉末床熔融工艺制造的。通过 X 射线衍射分析 (XRD) 研究了制造的 CM247LC 合金中存在的相。此外，还研究了成品合金的显微硬度和摩擦学特性。XRD 光谱主要观察到 γ 和 γ′ 峰。γ′和 MC 碳化物的存在增强了 CM247LC 合金的强度，从而提高了硬度和摩擦学性能。在磨损试验中，样品的磨损率随着施加载荷的增加而增加。对磨损表面进行检查后发现，主要的磨损机制是粘附和磨损。
{"title":"Microstructural Characteristics, Hardness and Tribological Behavior of Additive Manufactured CM247LC Nickel Super Alloy","authors":"C. Palanisamy, Raghu Raman, P. Olubambi","doi":"10.4028/p-ykgu2z","DOIUrl":"https://doi.org/10.4028/p-ykgu2z","url":null,"abstract":"Nickel superalloys are being used in applications subjected due to its excellent creep and oxidation behavior. The CM247LC nickel based super alloy is considered due to its exceptional combination of high-temperature strength, creep resistance, oxidation/corrosion resistance, and mechanical properties suitable for applications, particularly in the aerospace industry. Though, unfavorable tribological behavior is primary challenge in gas turbine applications. Nickel-based superalloy CM-247LC was manufactured through laser powder bed fusion process under two different conditions. X-ray diffraction analysis (XRD) was carried out to study phases present in as built CM247LC alloy. Microhardness and tribological characteristics were investigated on the as built alloy. XRD spectrum was predominantly observed with γ and γ′ peaks. Presence of γ′ and MC carbides offered strengthening to the as built CM247LC alloy which enhanced the hardness and tribological properties. The wear rate of samples gets increased with increase in load applied during the wear test. Worn out surfaces were examined and it is observed that the predominant type of wear mechanisms as adhesion and abrasion.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140228383","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}
The time-dependent magnetohydrodynamic (MHD) Couette flow of Maxwell material in a rotating system with ramped wall temperature has been examined under Ohmic (Joule) heating. The Continuity equation, Cauchy’s equation of motion, the constitutive equation for the Maxwell model, and the energy equation with Ohmic heating with relevant initial and boundary conditions are all considered in obtaining a mathematical model for the investigation. The finite element technique is applied to numerically solve the non-dimensionalized governing equations using the mathematical software MATLAB. The values of Weissenberg number, Hartmann number, Eckert number, and angular velocity of the rotating system are varied, and their effects on the fluid temperature and velocity are shown graphically and discussed.
{"title":"Mathematical Model of Unsteady MHD Couette Flow of Maxwell Viscoelastic Material and Heat Transfer with Ramped Wall Temperature","authors":"Karema Mundell-Thomas, V. Job","doi":"10.4028/p-lt6gso","DOIUrl":"https://doi.org/10.4028/p-lt6gso","url":null,"abstract":"The time-dependent magnetohydrodynamic (MHD) Couette flow of Maxwell material in a rotating system with ramped wall temperature has been examined under Ohmic (Joule) heating. The Continuity equation, Cauchy’s equation of motion, the constitutive equation for the Maxwell model, and the energy equation with Ohmic heating with relevant initial and boundary conditions are all considered in obtaining a mathematical model for the investigation. The finite element technique is applied to numerically solve the non-dimensionalized governing equations using the mathematical software MATLAB. The values of Weissenberg number, Hartmann number, Eckert number, and angular velocity of the rotating system are varied, and their effects on the fluid temperature and velocity are shown graphically and discussed.","PeriodicalId":512976,"journal":{"name":"Engineering Headway","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140228754","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}
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