ABSTRACTIn its development, every manufacturing industry increasingly makes people think more creatively and are faced with new problems, especially in making new innovations. The purpose of these production issues is to achieve faster and more efficient production targets. The metal machining process is an important factor to support the quality of the final product, but there is one obstacle that must be faced.The process of making gears is currently being done not only using a milling machine, there are many machines that are used to produce gears, to reduce the error rate in the process of making wheels using a CNC machine, a simulation is carried out using the Master Cam program. technology produced using software assistance to speed up work and make products better in terms of accuracy and effectiveness. The use of technology in the manufacture of products in various industrial fields continues to be developed in order to increase efficiency. This is also the case with the ceramics industry, which has been increasingly being used as a ceramicshousehold needs. In the production process, the Machining industrygradually using automated processes to replace processesmanuals. The purpose of this research is to analyze the manufacture of gears using a CNC machine.The results of this study are expected to be a reference in making gearsusing a CNC machine. Analysis of machining processes performed includes machining parameters, time and yield or productThis research is an application of the CAD CAM course, the Mastercam software application is very helpful in mold making innovation.
{"title":"DESIGN AND SIMULATION OF THE PROCESS OF MAKING STRAIGHT GEARSUSING THE MASTERCAM X5 TO GENERATE G-CODE","authors":"Fahri Rizki, Aa Santosa","doi":"10.31949/jmm.v3i1.6612","DOIUrl":"https://doi.org/10.31949/jmm.v3i1.6612","url":null,"abstract":"ABSTRACTIn its development, every manufacturing industry increasingly makes people think more creatively and are faced with new problems, especially in making new innovations. The purpose of these production issues is to achieve faster and more efficient production targets. The metal machining process is an important factor to support the quality of the final product, but there is one obstacle that must be faced.The process of making gears is currently being done not only using a milling machine, there are many machines that are used to produce gears, to reduce the error rate in the process of making wheels using a CNC machine, a simulation is carried out using the Master Cam program. technology produced using software assistance to speed up work and make products better in terms of accuracy and effectiveness. The use of technology in the manufacture of products in various industrial fields continues to be developed in order to increase efficiency. This is also the case with the ceramics industry, which has been increasingly being used as a ceramicshousehold needs. In the production process, the Machining industrygradually using automated processes to replace processesmanuals. The purpose of this research is to analyze the manufacture of gears using a CNC machine.The results of this study are expected to be a reference in making gearsusing a CNC machine. Analysis of machining processes performed includes machining parameters, time and yield or productThis research is an application of the CAD CAM course, the Mastercam software application is very helpful in mold making innovation.","PeriodicalId":484471,"journal":{"name":"Journal of Mechanical and Manufacture","volume":"379 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135321497","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}
ABSTRACTIn its development, every manufacturing industry increasingly makes people think more creatively and are faced with new problems, especially in making new innovations. The purpose of these production issues is to achieve faster and more efficient production targets. The metal machining process is an important factor to support the quality of the final product, but there is one obstacle that must be faced.Mold or Mold is a technology that is produced using software assistance to speed up work and make products better in terms of accuracy and effectiveness. The use of technology in the manufacture of products in various industrial fields continues to be developed in order to increase efficiency. This is also the case with the ceramics industry, which has been increasingly being used as a ceramicshousehold needs. In the production process, the ceramics industrygradually using automated processes to replace processesmanuals. The purpose of this study is to analyze the manufacture of ceramic mastersby using a CNC machine in the Kasongan ceramic industry. ResultsThis research is expected to be a reference in making ceramicsusing a CNC machine. Analysis of machining processes performedincludes machining parameters, time and yield or productThis research is an application of the CAD CAM course, the Mastercam software application is very helpful in mold making innovation. Tiles are a form of a product resulting from a metal molding process, the mold material is made of st 37 steel.
{"title":"DESIGN AND SIMULATION OF THE PROCESS OF MAKING CERAMIC TILES MOLDUSING THE MASTERCAM X5 TO GENERATE G-CODE","authors":"Aa Santosa, Naufal Yosi Laksana","doi":"10.31949/jmm.v3i1.6521","DOIUrl":"https://doi.org/10.31949/jmm.v3i1.6521","url":null,"abstract":"ABSTRACTIn its development, every manufacturing industry increasingly makes people think more creatively and are faced with new problems, especially in making new innovations. The purpose of these production issues is to achieve faster and more efficient production targets. The metal machining process is an important factor to support the quality of the final product, but there is one obstacle that must be faced.Mold or Mold is a technology that is produced using software assistance to speed up work and make products better in terms of accuracy and effectiveness. The use of technology in the manufacture of products in various industrial fields continues to be developed in order to increase efficiency. This is also the case with the ceramics industry, which has been increasingly being used as a ceramicshousehold needs. In the production process, the ceramics industrygradually using automated processes to replace processesmanuals. The purpose of this study is to analyze the manufacture of ceramic mastersby using a CNC machine in the Kasongan ceramic industry. ResultsThis research is expected to be a reference in making ceramicsusing a CNC machine. Analysis of machining processes performedincludes machining parameters, time and yield or productThis research is an application of the CAD CAM course, the Mastercam software application is very helpful in mold making innovation. Tiles are a form of a product resulting from a metal molding process, the mold material is made of st 37 steel.","PeriodicalId":484471,"journal":{"name":"Journal of Mechanical and Manufacture","volume":"64 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135321674","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}
ABSTRACTA study has been carried out on the transmission shaft or main shaft used on the Supra x150 motorcycle vehicle. The material used for the main shaft component is made of SCr420 steel, which is an alloy steel similar to SAE 4118 or JIS SCM 420. The research carried out is the Temper Process with the aim of reducing hardness but increasing other mechanical properties, namely the more ductile nature of the material by how to vary the tempering temperature with the electric current used. This tempering process uses an induction furnace. The electric current used starts from 79 A, 80 A and 81 A with a holding time of 15 s, 20 s and 25 s for each Ampere.Tempering process with the required temperature and time is very influential on the hardness of the material. The lower the temperature and the shorter the Tempering process time, the higher the hardness of the material, and vice versa, the higher the temperature and the longer the Tempering process, the lower the hardness of the material.From the results of the tests that have been carried out, it is obtained that some cannot be applied, but if seen from the electric current used, the efficient one is test number 4 because it uses a current of 79 Amperes Keywords: Tempering, Current Strength, Supra X150 Motor, SAE 4118 Steel
{"title":"ANALYSIS OF THE EFFECT OF VARIATION OF ELECTRIC CURRENT AND HOLDING TIME ON THE TEMPERING PROCESS TO IMPROVE MECHANICAL PROPERTIES OF AUTOMATIC TRANSMISSION SPREAD SHAFTS OF SUPRA X150 MOTORCYCLE","authors":"Aa Sansosa, Anggi Wahyudin","doi":"10.31949/jmm.v3i1.6520","DOIUrl":"https://doi.org/10.31949/jmm.v3i1.6520","url":null,"abstract":"ABSTRACTA study has been carried out on the transmission shaft or main shaft used on the Supra x150 motorcycle vehicle. The material used for the main shaft component is made of SCr420 steel, which is an alloy steel similar to SAE 4118 or JIS SCM 420. The research carried out is the Temper Process with the aim of reducing hardness but increasing other mechanical properties, namely the more ductile nature of the material by how to vary the tempering temperature with the electric current used. This tempering process uses an induction furnace. The electric current used starts from 79 A, 80 A and 81 A with a holding time of 15 s, 20 s and 25 s for each Ampere.Tempering process with the required temperature and time is very influential on the hardness of the material. The lower the temperature and the shorter the Tempering process time, the higher the hardness of the material, and vice versa, the higher the temperature and the longer the Tempering process, the lower the hardness of the material.From the results of the tests that have been carried out, it is obtained that some cannot be applied, but if seen from the electric current used, the efficient one is test number 4 because it uses a current of 79 Amperes Keywords: Tempering, Current Strength, Supra X150 Motor, SAE 4118 Steel","PeriodicalId":484471,"journal":{"name":"Journal of Mechanical and Manufacture","volume":"76 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135320844","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}
AbstractCurrently, metal joining techniques in the field of welding have developed rapidly. In constructions that use metal raw materials, most of the joints are made by welding. Apart from joining, the welding process can also be used for repairs, for example to fill holes in castings, make coatings on tools, thicken worn parts and other repairs. Welding is also widely used for building construction, bridges, piping and automotive. As we know, there are many types of welding used today. One of them is Gas Tungsten Arc Welding (GTAW) or commonly called Tungsten Inert Gas (TIG).AISI 1045 steel is referred to as carbon steel because it complies with international coding, namely the 10xx series based on the nomenclature issued by AISI and SAE (Society of Automotive Engineers). The first number 10 is the code that indicates plain carbon, then the code xxx after the number 10 indicates the carbon composition. So AISI 1045 steel means carbon steel or plain carbon steel which has a carbon composition of 0.45%. Steel of this specification is widely used as a component of gears, shafts and bearings. According to its function, it must be able to withstand wear and tear due to friction with the chain. Wear resistance is defined as resistance to abrasion or resistance to dimension reduction due to friction
{"title":"ANALYSIS OF THE EFFECT OF CURRENT AND COOLING MEDIA IN TUNGSTEN INERT GAS (TIG) WELDING ON MECHANICAL STRENGTH AND MICRO STRUCTURE OF AISI 1045 STEEL FOR TRUSS FRAME MOTORCYCLE FRAME CONNECTIONS","authors":"Mohamad Indrawan, Aa Santosa","doi":"10.31949/jmm.v3i1.6602","DOIUrl":"https://doi.org/10.31949/jmm.v3i1.6602","url":null,"abstract":"AbstractCurrently, metal joining techniques in the field of welding have developed rapidly. In constructions that use metal raw materials, most of the joints are made by welding. Apart from joining, the welding process can also be used for repairs, for example to fill holes in castings, make coatings on tools, thicken worn parts and other repairs. Welding is also widely used for building construction, bridges, piping and automotive. As we know, there are many types of welding used today. One of them is Gas Tungsten Arc Welding (GTAW) or commonly called Tungsten Inert Gas (TIG).AISI 1045 steel is referred to as carbon steel because it complies with international coding, namely the 10xx series based on the nomenclature issued by AISI and SAE (Society of Automotive Engineers). The first number 10 is the code that indicates plain carbon, then the code xxx after the number 10 indicates the carbon composition. So AISI 1045 steel means carbon steel or plain carbon steel which has a carbon composition of 0.45%. Steel of this specification is widely used as a component of gears, shafts and bearings. According to its function, it must be able to withstand wear and tear due to friction with the chain. Wear resistance is defined as resistance to abrasion or resistance to dimension reduction due to friction","PeriodicalId":484471,"journal":{"name":"Journal of Mechanical and Manufacture","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135321134","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 press tool is one of the combined Jig and Fixture tools that can be used to form and cut metal by means of emphasis. The working process of this tool is based on the compressive force passed on by Punch to cut or shape the workpiece according to the desired geometric and size. This research aims to design a cutting machine for sheet metal forming processes that are able to improve the production process in industry. In this study, the author designed the components of a progressive type presstool machine in the process of making clamps with a thickness of 3mm with software inventor design media. Includes components shanks (St.60), top plate (St.60), bearing locator (St.40), bottom plate (St.60), punch (SKD-11), dies (SKD-11), pillar shaft (St.40), spring (St.40). Analysis of calculations carried out in this study produces a cross-sectional area of the shear field (132mm2), shear voltage (32 kg/mm2), Formation style (4,224kg), presstool engine power (1267.2 watts/168.9688 HP). Press tools are designed to make clamps made of steel plates with a thickness of 3 mm. From the design results obtained the dimensions of the tool as follows the length of 450 x 400 x 542 mm. The results of press tool type of precision equipment used to form or cut workpiece materials according to needs and to increase production in industry
{"title":"SIMPLE PRESS TOOL DESIGN AS A SUPPORTING TOOL FOR FORMING PLATES WITH A THICKNESS OF 3 MM","authors":"Aldi Sulaeman, Aa Santosa","doi":"10.31949/jmm.v3i1.6604","DOIUrl":"https://doi.org/10.31949/jmm.v3i1.6604","url":null,"abstract":"The press tool is one of the combined Jig and Fixture tools that can be used to form and cut metal by means of emphasis. The working process of this tool is based on the compressive force passed on by Punch to cut or shape the workpiece according to the desired geometric and size. This research aims to design a cutting machine for sheet metal forming processes that are able to improve the production process in industry. In this study, the author designed the components of a progressive type presstool machine in the process of making clamps with a thickness of 3mm with software inventor design media. Includes components shanks (St.60), top plate (St.60), bearing locator (St.40), bottom plate (St.60), punch (SKD-11), dies (SKD-11), pillar shaft (St.40), spring (St.40). Analysis of calculations carried out in this study produces a cross-sectional area of the shear field (132mm2), shear voltage (32 kg/mm2), Formation style (4,224kg), presstool engine power (1267.2 watts/168.9688 HP). Press tools are designed to make clamps made of steel plates with a thickness of 3 mm. From the design results obtained the dimensions of the tool as follows the length of 450 x 400 x 542 mm. The results of press tool type of precision equipment used to form or cut workpiece materials according to needs and to increase production in industry","PeriodicalId":484471,"journal":{"name":"Journal of Mechanical and Manufacture","volume":"58 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135327903","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 use of energy which always comes from fossil fuels will eventually run out, so the development of renewable energy or alternative energy is very important to maintain petroleum reserves and as a substitute for fossil fuels which are the main energy source. One alternative energy is biomass which has not been widely used by the gasification method. The gas produced by the gasification process is utilized by burning it in a flare to get a flame. In this study, the 3D simulation method with Computational Fluid Dynamics (CFD) was used to determine the temperature distribution on the flare walls using CFD simulations and to compare the temperature of the flare walls from the CFD simulation results with the test results. The results of this study, the distribution of combustion occurs in the flare with a temperature of 1106°C in the upper area close to the outlet boundary. The wall temperature comparison shows that the CFD simulation tends to be similar to the test results. This shows that computational fluid dynamic simulations can be used to predict fluid flow rates and combustion reactions.
{"title":"FLUID DYNAMIC SIMULATION ON THE FLARE OF COMBUSTION OF GAS FROM BIOMASS GASIFICATION","authors":"Dian Susanto, Muhtar Kosim, Ari Wibowo","doi":"10.31949/jmm.v3i1.5682","DOIUrl":"https://doi.org/10.31949/jmm.v3i1.5682","url":null,"abstract":"The use of energy which always comes from fossil fuels will eventually run out, so the development of renewable energy or alternative energy is very important to maintain petroleum reserves and as a substitute for fossil fuels which are the main energy source. One alternative energy is biomass which has not been widely used by the gasification method. The gas produced by the gasification process is utilized by burning it in a flare to get a flame. In this study, the 3D simulation method with Computational Fluid Dynamics (CFD) was used to determine the temperature distribution on the flare walls using CFD simulations and to compare the temperature of the flare walls from the CFD simulation results with the test results. The results of this study, the distribution of combustion occurs in the flare with a temperature of 1106°C in the upper area close to the outlet boundary. The wall temperature comparison shows that the CFD simulation tends to be similar to the test results. This shows that computational fluid dynamic simulations can be used to predict fluid flow rates and combustion reactions.
","PeriodicalId":484471,"journal":{"name":"Journal of Mechanical and Manufacture","volume":"2 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135320972","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}
Ari ajibekti Masriwilaga, Ari Wibowo, Dian Susanto
The existence of Basmati rice among the upper middle class in Indonesia is increasingly popular. Unfortunately, this rice is only grown in northern India and Pakistan. Fulfillment of rice must be imported and the price in Indonesia is relatively expensive. Responding to this phenomenon, the Center for Rice Research (BB Padi), the Agricultural Research and Development Agency succeeded in assembling a special rice variety Basmati. And given the name Baroma, an abbreviation of type Basmati Aromatic rice. And Baroma rice was launched in Subang in 2019 until now it has been recorded that several agricultural lands in Subang have planted this type. The more types of rice varieties, the more types of rice will be found. So that it will make consumers difficult to distinguish between types of rice with one another. Therefore, we need a solution to overcome this problem. And one solution that can be used is to use AI technology, as in the research we did. Using the CNN algorithm produces very good accuracy for detecting types of rice such as the type of data used for training data and test data. From the results of the model training carried out, it produces an accuracy rate of 98,52% while model testing to see how well the model predicts the label correctly is 97,80%.
{"title":"CNN-BASED ARTIFICIAL INTELLIGENCE (AI) IMPLEMENTATION TO IDENTIFY BASMATI RICE IN SUBANG DISTRICT","authors":"Ari ajibekti Masriwilaga, Ari Wibowo, Dian Susanto","doi":"10.31949/jmm.v3i1.6371","DOIUrl":"https://doi.org/10.31949/jmm.v3i1.6371","url":null,"abstract":"The existence of Basmati rice among the upper middle class in Indonesia is increasingly popular. Unfortunately, this rice is only grown in northern India and Pakistan. Fulfillment of rice must be imported and the price in Indonesia is relatively expensive. Responding to this phenomenon, the Center for Rice Research (BB Padi), the Agricultural Research and Development Agency succeeded in assembling a special rice variety Basmati. And given the name Baroma, an abbreviation of type Basmati Aromatic rice. And Baroma rice was launched in Subang in 2019 until now it has been recorded that several agricultural lands in Subang have planted this type. The more types of rice varieties, the more types of rice will be found. So that it will make consumers difficult to distinguish between types of rice with one another. Therefore, we need a solution to overcome this problem. And one solution that can be used is to use AI technology, as in the research we did. Using the CNN algorithm produces very good accuracy for detecting types of rice such as the type of data used for training data and test data. From the results of the model training carried out, it produces an accuracy rate of 98,52% while model testing to see how well the model predicts the label correctly is 97,80%.","PeriodicalId":484471,"journal":{"name":"Journal of Mechanical and Manufacture","volume":"61 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135272001","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}
Muhtar Kosim, Ari Wibowo, Novandri Tri Setioputro, None Kasda, Dian Susanto
Manufacturing is one of the most valuable industries in the world, it can be automated without limits but still stuck in traditional manual and slow processes. Industry 4.0 is racing to define a new era in digital manufacturing through the implementation of Machine Learning methods. In this era, Machine learning has been widely applied to various fields and will certainly be very good applied in the manufacturing world. One of them is used to predict and prevent defects in metal. The process of predicting and preventing defects in metal is one of the important efforts in improving and maintaining production quality. Accuracy in predicting and preventing defects in metal can be an innovation and competitiveness in technology, both in production methods, and improving product safety and its users. Human operators and inspectors without digital assistance generally can spend a lot of time researching visual data, especially in high-volume production environments. For this reason, there needs to be research in developing Machine Learning technology in an effort to prevent the occurrence of defects in metal. And one of the development of this technology by using Convolutional Neural Network (CNN) architecture Visual Geometry Group 16 layer (VGG16). As for the metal defect dataset with 10 classes with details for training data as many as 17221, and test dataset as many as 4311, From the use of methods and datasets available, has been done training model used and produce very good accuracy, that is equal to 89% and testing with accuracy equal to 76%. And also done Interpreter process against new input data, to know metal defect type, prediction accuracy and appropriate action to prevent and overcome metal defect type result of Interpreter process application.
{"title":"OPTIMIZATION OF PREDICTION AND PREVENTION OF DEFECTS ON METAL BASED ON AI USING VGG16 ARCHITECTURE","authors":"Muhtar Kosim, Ari Wibowo, Novandri Tri Setioputro, None Kasda, Dian Susanto","doi":"10.31949/jmm.v3i1.6542","DOIUrl":"https://doi.org/10.31949/jmm.v3i1.6542","url":null,"abstract":"Manufacturing is one of the most valuable industries in the world, it can be automated without limits but still stuck in traditional manual and slow processes. Industry 4.0 is racing to define a new era in digital manufacturing through the implementation of Machine Learning methods. In this era, Machine learning has been widely applied to various fields and will certainly be very good applied in the manufacturing world. One of them is used to predict and prevent defects in metal. The process of predicting and preventing defects in metal is one of the important efforts in improving and maintaining production quality. Accuracy in predicting and preventing defects in metal can be an innovation and competitiveness in technology, both in production methods, and improving product safety and its users. Human operators and inspectors without digital assistance generally can spend a lot of time researching visual data, especially in high-volume production environments. For this reason, there needs to be research in developing Machine Learning technology in an effort to prevent the occurrence of defects in metal. And one of the development of this technology by using Convolutional Neural Network (CNN) architecture Visual Geometry Group 16 layer (VGG16). As for the metal defect dataset with 10 classes with details for training data as many as 17221, and test dataset as many as 4311, From the use of methods and datasets available, has been done training model used and produce very good accuracy, that is equal to 89% and testing with accuracy equal to 76%. And also done Interpreter process against new input data, to know metal defect type, prediction accuracy and appropriate action to prevent and overcome metal defect type result of Interpreter process application.","PeriodicalId":484471,"journal":{"name":"Journal of Mechanical and Manufacture","volume":"55 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135272956","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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