Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90022-3
H.K. Tönshoff , J. Hernández-Camacho
This paper concerns to the influence of tool wear and shape accuracy on different tool engagements, resulting from milling of threedimensional contours. The aim is to achieve cutting conditions depending on the contour. The results obtained shall be considered at creation of the milling paths, concerning proper to geometrical and technological cutting conditions. The possibilities of 3- and 5-axes milling and modern cutting materials for die and mould manufacturing are discussed. CAD/CAM-systems used today operate only by means of geometry. This process can be optimized, if these systems consider the cutting conditions too.
{"title":"Die manufacturing by 5- and 3-axes milling","authors":"H.K. Tönshoff , J. Hernández-Camacho","doi":"10.1016/0378-3804(89)90022-3","DOIUrl":"https://doi.org/10.1016/0378-3804(89)90022-3","url":null,"abstract":"<div><p>This paper concerns to the influence of tool wear and shape accuracy on different tool engagements, resulting from milling of threedimensional contours. The aim is to achieve cutting conditions depending on the contour. The results obtained shall be considered at creation of the milling paths, concerning proper to geometrical and technological cutting conditions. The possibilities of 3- and 5-axes milling and modern cutting materials for die and mould manufacturing are discussed. CAD/CAM-systems used today operate only by means of geometry. This process can be optimized, if these systems consider the cutting conditions too.</p></div>","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"20 ","pages":"Pages 105-119"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0378-3804(89)90022-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91721964","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90048-X
P.H. Gu, H.A. ElMaraghy
This paper presents three cluster-seeking algorithms - K-means, Revised K-means and Isodata - for formation of part families and machine cells. These algorithms are based on the concept of pattern recognition and are capable of producing variable size, mutually independent groups of parts and/or machines without excluding exceptional components. These algorithms are compared with existing grouping algorithms, and examples are used to demonstrate the effect of clustering criteria on the final solutions. It has been found that the Isodata algorithm is more efficient and more flexible than existing machine/components matrix manipulation techniques.
{"title":"Formation of manufacturing cells by cluster-seeking algorithms","authors":"P.H. Gu, H.A. ElMaraghy","doi":"10.1016/0378-3804(89)90048-X","DOIUrl":"https://doi.org/10.1016/0378-3804(89)90048-X","url":null,"abstract":"<div><p>This paper presents three cluster-seeking algorithms - K-means, Revised K-means and Isodata - for formation of part families and machine cells. These algorithms are based on the concept of pattern recognition and are capable of producing variable size, mutually independent groups of parts and/or machines without excluding exceptional components. These algorithms are compared with existing grouping algorithms, and examples are used to demonstrate the effect of clustering criteria on the final solutions. It has been found that the Isodata algorithm is more efficient and more flexible than existing machine/components matrix manipulation techniques.</p></div>","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"20 ","pages":"Pages 403-413"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0378-3804(89)90048-X","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91722057","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90019-3
T. Farris, S. Chandrasekar
{"title":"On the characterization and control of surface finishing damage in ceramics","authors":"T. Farris, S. Chandrasekar","doi":"10.1016/0378-3804(89)90019-3","DOIUrl":"https://doi.org/10.1016/0378-3804(89)90019-3","url":null,"abstract":"","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"1 1","pages":"69-78"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74887627","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90031-4
Richard R. Lindeke, Ying-Hsin Andrew Liou
A series of 9 steps are presented and explained to guide the manufacturing professional through the use of the Taguchi Method. Techniques for problem identification and study, team building, and the design, analysis and interpretation of Taguchi experiments are included. Following this step-by-step approach will allow this powerful tool to be applied to problem solution at all levels of manufacturing.
{"title":"Methods for optimization in the manufacturing system - the taguchi method: An engineering approach to its implementation","authors":"Richard R. Lindeke, Ying-Hsin Andrew Liou","doi":"10.1016/0378-3804(89)90031-4","DOIUrl":"https://doi.org/10.1016/0378-3804(89)90031-4","url":null,"abstract":"<div><p>A series of 9 steps are presented and explained to guide the manufacturing professional through the use of the Taguchi Method. Techniques for problem identification and study, team building, and the design, analysis and interpretation of Taguchi experiments are included. Following this step-by-step approach will allow this powerful tool to be applied to problem solution at all levels of manufacturing.</p></div>","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"20 ","pages":"Pages 205-218"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0378-3804(89)90031-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90027543","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90035-1
J.N Anderson, A Śmiarowski Jr.
Model-based control method using second-order models may be insufficient for fast digital control of robots. Therefore, a model-based control using a third-order dynamic model is introduced. It is shown that this scheme may be implemented in real-time by means of an efficient recursive algorithm. The temporal arrangements of this algorithm are discussed and a controller implementation is proposed.
{"title":"An advanced controller for robotic manipulations","authors":"J.N Anderson, A Śmiarowski Jr.","doi":"10.1016/0378-3804(89)90035-1","DOIUrl":"10.1016/0378-3804(89)90035-1","url":null,"abstract":"<div><p>Model-based control method using second-order models may be insufficient for fast digital control of robots. Therefore, a model-based control using a third-order dynamic model is introduced. It is shown that this scheme may be implemented in real-time by means of an efficient recursive algorithm. The temporal arrangements of this algorithm are discussed and a controller implementation is proposed.</p></div>","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"20 ","pages":"Pages 251-260"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0378-3804(89)90035-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76254671","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90046-6
B. Somashekhar, A. Hegde, G. Sudheendra
{"title":"Simulation package for an automated manufacturing system","authors":"B. Somashekhar, A. Hegde, G. Sudheendra","doi":"10.1016/0378-3804(89)90046-6","DOIUrl":"https://doi.org/10.1016/0378-3804(89)90046-6","url":null,"abstract":"","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"4 1","pages":"379-388"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86738418","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90021-1
T. Papazafiriou, M. Elbestawi
{"title":"Flank wear modeling in milling","authors":"T. Papazafiriou, M. Elbestawi","doi":"10.1016/0378-3804(89)90021-1","DOIUrl":"https://doi.org/10.1016/0378-3804(89)90021-1","url":null,"abstract":"","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"39 1","pages":"93-104"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84708092","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90048-X
P. Gu, H. Elmaraghy
{"title":"Formation of manufacturing cells by cluster-seeking algorithms","authors":"P. Gu, H. Elmaraghy","doi":"10.1016/0378-3804(89)90048-X","DOIUrl":"https://doi.org/10.1016/0378-3804(89)90048-X","url":null,"abstract":"","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"22 1","pages":"403-413"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81049258","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90029-6
J. Drolet, C. L. Moodie, B. Montreuil
{"title":"Scheduling factories of the future","authors":"J. Drolet, C. L. Moodie, B. Montreuil","doi":"10.1016/0378-3804(89)90029-6","DOIUrl":"https://doi.org/10.1016/0378-3804(89)90029-6","url":null,"abstract":"","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"8 1","pages":"183-194"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81923571","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}
Pub Date : 1989-09-01DOI: 10.1016/0378-3804(89)90026-0
Pradeep K. Khosla, Raju Mattikali
Geometric modeling systems are rapidly replacing manual drafting techniques for defining the geometry of mechanical parts and assemblies. This makes possible the development of a variety of software tools to aid the designer in effective representation and evaluation of mechanical systems and assemblies (MSA's). The long term goal of our research is to address the question: Can the given MSA be assembled automatically with the given facilities? In order to accomplish our goal we need to develop techniques to model the Mechanical System/Assembly (MSA) and the available facilities. In this paper, we address the first part of our goals and develop a methodology to automatically determine the assembly sequence from a 3-D solid modeler description of the assembly. Our approach consists of automatically determining a set of assembly operations, through a disassembly procedure, that lead to the given assembly (MSA). We use the Noodles Solid Modeler, that has been developed at Carnegie Mellon, to describe the assembly. We have implemented our algorithm to determine the disassembly sequence on a SUN workstation in C language. We also describe our initial implementation through an example.
{"title":"Determining the assembly sequence from a 3-D model","authors":"Pradeep K. Khosla, Raju Mattikali","doi":"10.1016/0378-3804(89)90026-0","DOIUrl":"10.1016/0378-3804(89)90026-0","url":null,"abstract":"<div><p>Geometric modeling systems are rapidly replacing manual drafting techniques for defining the geometry of mechanical parts and assemblies. This makes possible the development of a variety of software tools to aid the designer in effective representation and evaluation of mechanical systems and assemblies (MSA's). The long term goal of our research is to address the question: Can the given MSA be assembled automatically with the given facilities? In order to accomplish our goal we need to develop techniques to model the Mechanical System/Assembly (MSA) and the available facilities. In this paper, we address the first part of our goals and develop a methodology to automatically determine the assembly sequence from a 3-D solid modeler description of the assembly. Our approach consists of automatically determining a set of assembly operations, through a disassembly procedure, that lead to the given assembly (MSA). We use the <em>Noodles</em> Solid Modeler, that has been developed at Carnegie Mellon, to describe the assembly. We have implemented our algorithm to determine the disassembly sequence on a SUN workstation in C language. We also describe our initial implementation through an example.</p></div>","PeriodicalId":100801,"journal":{"name":"Journal of Mechanical Working Technology","volume":"20 ","pages":"Pages 153-162"},"PeriodicalIF":0.0,"publicationDate":"1989-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0378-3804(89)90026-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79340971","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}