Pub Date : 2016-11-01DOI: 10.1109/EDPC.2016.7851318
S. Abersfelder, A. Meyer, A. Heyder, Marius Thanner, J. Franke
The market growth of electric drives is pushed forward due to high coercive magnet material and new, more efficient motor designs. These new designs require only small tolerances within the whole manufacturing process. While quality assurance is well established within the stator manufacturing process, the rotor assembly process suffers from lack of testing. Hence, this gap causes rejects not detected until the end-of-line-test of the whole motor, measuring especially the back electromotive force (BEMF) and the total harmonic distortion (THD) of the output signal. To avoid rejects of whole motors at the end of the value chain, this paper presents the possibilities delivered by in-line magnetic field measuring of the rotor. Therefore, different testing methods, such as a commercial available monolithic hall array and a discrete hall line array are used and evaluated. Out of these measurement series a rotor KPI is defined in order to evaluate the rotor quality right after the measurement.
{"title":"Prediction of electric motor performance by in-line testing of permanent excited rotors","authors":"S. Abersfelder, A. Meyer, A. Heyder, Marius Thanner, J. Franke","doi":"10.1109/EDPC.2016.7851318","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851318","url":null,"abstract":"The market growth of electric drives is pushed forward due to high coercive magnet material and new, more efficient motor designs. These new designs require only small tolerances within the whole manufacturing process. While quality assurance is well established within the stator manufacturing process, the rotor assembly process suffers from lack of testing. Hence, this gap causes rejects not detected until the end-of-line-test of the whole motor, measuring especially the back electromotive force (BEMF) and the total harmonic distortion (THD) of the output signal. To avoid rejects of whole motors at the end of the value chain, this paper presents the possibilities delivered by in-line magnetic field measuring of the rotor. Therefore, different testing methods, such as a commercial available monolithic hall array and a discrete hall line array are used and evaluated. Out of these measurement series a rotor KPI is defined in order to evaluate the rotor quality right after the measurement.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125724108","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851336
Johannes Fisel, G. Lanza
The overall market trend depicts an increasing demand for electric or hybrid vehicles. This demand cannot be predicted precisely because of volatile influencing factors. Automotive companies are therefore confronted with the challenge of rapidly adapting their production systems accordingly. An approach to handle the variety of models within final assembly is to establish mixed model assembly lines. The subsequent integration of vehicles using alternative propulsion concepts into single model assembly lines stands as a great challenge in final assembly. Within this paper, an approach for the greenfield planning of assembly lines using the concept of changeability is presented. The approach focusses on the integration of a new propulsion concept in an existing assembly line. Hereto, the line allocation problem is solved for a fixed production volume ratio using an optimization algorithm. Thereafter, the production volume ratios are varied in order to identify an optimal solution for line balancing and assembly equipment.
{"title":"Planning approach for a changeable multi model assembly system","authors":"Johannes Fisel, G. Lanza","doi":"10.1109/EDPC.2016.7851336","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851336","url":null,"abstract":"The overall market trend depicts an increasing demand for electric or hybrid vehicles. This demand cannot be predicted precisely because of volatile influencing factors. Automotive companies are therefore confronted with the challenge of rapidly adapting their production systems accordingly. An approach to handle the variety of models within final assembly is to establish mixed model assembly lines. The subsequent integration of vehicles using alternative propulsion concepts into single model assembly lines stands as a great challenge in final assembly. Within this paper, an approach for the greenfield planning of assembly lines using the concept of changeability is presented. The approach focusses on the integration of a new propulsion concept in an existing assembly line. Hereto, the line allocation problem is solved for a fixed production volume ratio using an optimization algorithm. Thereafter, the production volume ratios are varied in order to identify an optimal solution for line balancing and assembly equipment.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132416318","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851334
Johannes Grosshauser
This paper presents a parameter fitting process for dynamic FE models of squirrel cage rotors. The process is based on an experimental database and considers statistical approaches for the parameter sensitivity analyses of FE models. Parameters are optimized using evolutionary optimization algorithms. The quality of results is checked using the database and extended experimental investigations carried out on special test benches. Derived from this it can be shown that the FE model is also a good fit for calculation the strength within squirrel cage.
{"title":"Experimental and numerical analysis of the modal behavior of squirrel cage rotors","authors":"Johannes Grosshauser","doi":"10.1109/EDPC.2016.7851334","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851334","url":null,"abstract":"This paper presents a parameter fitting process for dynamic FE models of squirrel cage rotors. The process is based on an experimental database and considers statistical approaches for the parameter sensitivity analyses of FE models. Parameters are optimized using evolutionary optimization algorithms. The quality of results is checked using the database and extended experimental investigations carried out on special test benches. Derived from this it can be shown that the FE model is also a good fit for calculation the strength within squirrel cage.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327462","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851313
S. Spreng, Tobias Glaessel, Johannes Muselmann, Marina Wörrlein, J. Franke
The main joining task in the field of electric drives production is to connect bundles of insulated copper wires with standardized tubular cable lugs, as this connection alternative is widely used in all types of different electrical stator varieties. Implementing this process in industrial production facilities, the thermo-crimping technology is widely used. Within this technique, the insulation is thermally destroyed, while coincidently, the tubular cable lug and the inlying skinned copper wires are deformed plastically, which generates a force fit crimp-connection. The thermo-crimping process features strong production-related benefits such as short tact times, high process reliabilities as well as an easy process handling. The severe disadvantage however has to be seen within the electrode wearing, as the crimping tools are simultaneously exposed to high pressures and temperatures of at least 600 C reducing an electrode's number of possible crimping routines to at most 1500. As a consequence, especially in serial production, excessive maintenance efforts have to be taken into account, strongly reducing the production efficiency. For this purpose, the institute FAPS focuses its research on the reduction of tool wearing. Beginning with a theoretical process analysis, different tool shapes and materials are compared experimentally considering both, the joint quality and the electrode wearing. Subsequently, regression models are introduced predicting static quality properties such as tensile forces and transition resistances. Finally, the proposed model is validated by applying the found formula to different cable lug sizes.
{"title":"Quantification of the influence of varying electrode shapes and materials on the thermo-crimping process of standardized tubular cable lugs","authors":"S. Spreng, Tobias Glaessel, Johannes Muselmann, Marina Wörrlein, J. Franke","doi":"10.1109/EDPC.2016.7851313","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851313","url":null,"abstract":"The main joining task in the field of electric drives production is to connect bundles of insulated copper wires with standardized tubular cable lugs, as this connection alternative is widely used in all types of different electrical stator varieties. Implementing this process in industrial production facilities, the thermo-crimping technology is widely used. Within this technique, the insulation is thermally destroyed, while coincidently, the tubular cable lug and the inlying skinned copper wires are deformed plastically, which generates a force fit crimp-connection. The thermo-crimping process features strong production-related benefits such as short tact times, high process reliabilities as well as an easy process handling. The severe disadvantage however has to be seen within the electrode wearing, as the crimping tools are simultaneously exposed to high pressures and temperatures of at least 600 C reducing an electrode's number of possible crimping routines to at most 1500. As a consequence, especially in serial production, excessive maintenance efforts have to be taken into account, strongly reducing the production efficiency. For this purpose, the institute FAPS focuses its research on the reduction of tool wearing. Beginning with a theoretical process analysis, different tool shapes and materials are compared experimentally considering both, the joint quality and the electrode wearing. Subsequently, regression models are introduced predicting static quality properties such as tensile forces and transition resistances. Finally, the proposed model is validated by applying the found formula to different cable lug sizes.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116545889","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851325
Abdullah Kahveci, P. Szary, Florian Herget, A. Putri, K. Hameyer
The iron losses in electrical machines differ significantly from those of measurements using the standardized measurement method, i.e. by use of an Epstein frame. In order to obtain a better approximation of the losses in an electrical machine, several toroidal geometries were examined more closely. In the first step, according to the standardized method, a ring-geometry was chosen, which corresponds to the magnetic path length of the Epstein frame. Starting from this reference ring and by gradual reduction of the diameter, further ring cores were measured. Within this framework, different methods were used, in which e.g. the influence of axial height, length of the cutting edge relative to the area or the ratio of outer and inner diameter was investigated. In addition to the measurements, numerical calculations were performed. Here, the focus lies on the exploration of the field density distribution over the ring width with respect to the various methods. Taking into account for those processing effects with the highest impact, the smallest geometries of each method and the largest ring, acting as a reference, were studied in detail. The investigations on the toroidal cores of the methods were carried out at a frequency of 400 Hz and a target minimum polarization of 1.0 T. As a final outcome, a recalculation of an existing machine with the new parameters of a selected ring nucleus was done.
{"title":"Methods for hysteresis losses determinations at non-standard ring core geometries equivalent to Epstein measurements","authors":"Abdullah Kahveci, P. Szary, Florian Herget, A. Putri, K. Hameyer","doi":"10.1109/EDPC.2016.7851325","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851325","url":null,"abstract":"The iron losses in electrical machines differ significantly from those of measurements using the standardized measurement method, i.e. by use of an Epstein frame. In order to obtain a better approximation of the losses in an electrical machine, several toroidal geometries were examined more closely. In the first step, according to the standardized method, a ring-geometry was chosen, which corresponds to the magnetic path length of the Epstein frame. Starting from this reference ring and by gradual reduction of the diameter, further ring cores were measured. Within this framework, different methods were used, in which e.g. the influence of axial height, length of the cutting edge relative to the area or the ratio of outer and inner diameter was investigated. In addition to the measurements, numerical calculations were performed. Here, the focus lies on the exploration of the field density distribution over the ring width with respect to the various methods. Taking into account for those processing effects with the highest impact, the smallest geometries of each method and the largest ring, acting as a reference, were studied in detail. The investigations on the toroidal cores of the methods were carried out at a frequency of 400 Hz and a target minimum polarization of 1.0 T. As a final outcome, a recalculation of an existing machine with the new parameters of a selected ring nucleus was done.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122875728","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851338
Christian Sand, Moritz Meiners, J. Daberkow, J. Franke
Industrial manufacturing and assembly aim to realize a wide range of product variance at high quality standards. [7] The fabrication processes are commonly organized as workshop production or chained production systems, besides standalone machines. [3][4] A lot of process data is generated by every single machine, yet it is hardly used for process optimization. Depending on the manufacturing IT, process data of series production is stored within databases optimized for traceability, whereas standalone machines and machines within workshop production are usually not connected to a common database. The required process data is either stored on the assembly machine itself or inside a local database. [9] The identification of interdependences of each single assembly process and the quality of the finished good is necessary for advanced optimization. Due to the decentralized process data storage, data mining analysis is taking a huge amount of time to find and prepare the process and quality data, especially in workshop production. To enable process monitoring and holistic optimization based on data mining methods in workshop production, a methodology is required to extract, transform and store process data like pressing curves and quality data. Therefore, this paper provides a concept for a virtual process data linkage of assembly stations to enable data mining inside workshop production, which is also able to cope with chained production systems and standalone machines. For further analysis of interdependencies of assembly presses, a dynamic envelope curve is developed for advanced monitoring and optimization as novel methodology.
{"title":"Concept for a virtual process data linkage of assembly stations and a dynamic envelope curve for process monitoring","authors":"Christian Sand, Moritz Meiners, J. Daberkow, J. Franke","doi":"10.1109/EDPC.2016.7851338","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851338","url":null,"abstract":"Industrial manufacturing and assembly aim to realize a wide range of product variance at high quality standards. [7] The fabrication processes are commonly organized as workshop production or chained production systems, besides standalone machines. [3][4] A lot of process data is generated by every single machine, yet it is hardly used for process optimization. Depending on the manufacturing IT, process data of series production is stored within databases optimized for traceability, whereas standalone machines and machines within workshop production are usually not connected to a common database. The required process data is either stored on the assembly machine itself or inside a local database. [9] The identification of interdependences of each single assembly process and the quality of the finished good is necessary for advanced optimization. Due to the decentralized process data storage, data mining analysis is taking a huge amount of time to find and prepare the process and quality data, especially in workshop production. To enable process monitoring and holistic optimization based on data mining methods in workshop production, a methodology is required to extract, transform and store process data like pressing curves and quality data. Therefore, this paper provides a concept for a virtual process data linkage of assembly stations to enable data mining inside workshop production, which is also able to cope with chained production systems and standalone machines. For further analysis of interdependencies of assembly presses, a dynamic envelope curve is developed for advanced monitoring and optimization as novel methodology.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125464501","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851324
Markus Balluff, Hristian Naumoski, K. Hameyer
The manufacturing process of electrical machines influences the geometric dimensions and material properties, e.g. the yoke thickness. These influences occur by statistical variation as manufacturing tolerances. The effect of these tolerances and their potential impact on the mechanical torque output is not fully studied up to now. This paper conducts a sensitivity analysis for geometric and material parameters. For the general approach these parameters are varied uniformly in a range of 10 %. Two dimensional finite element analysis is used to simulate the influences at three characteristic operating points. The studied object is an internal permanent magnet machine in the 100 kW range used for hybrid drive applications. The results show a significant dependency on the rotational speed. The general validity is studied by using boundary condition variations and two further machine designs. This procedure offers the comparison of matching qualitative results for small quantitative deviations. For detecting the impact of the manufacturing process realistic tolerance ranges are used. This investigation identifies the airgap and magnet remanence induction as the main parameters for potential torque fluctuation.
{"title":"Sensitivity analysis on tolerance induced torque fluctuation of a synchronous machine","authors":"Markus Balluff, Hristian Naumoski, K. Hameyer","doi":"10.1109/EDPC.2016.7851324","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851324","url":null,"abstract":"The manufacturing process of electrical machines influences the geometric dimensions and material properties, e.g. the yoke thickness. These influences occur by statistical variation as manufacturing tolerances. The effect of these tolerances and their potential impact on the mechanical torque output is not fully studied up to now. This paper conducts a sensitivity analysis for geometric and material parameters. For the general approach these parameters are varied uniformly in a range of 10 %. Two dimensional finite element analysis is used to simulate the influences at three characteristic operating points. The studied object is an internal permanent magnet machine in the 100 kW range used for hybrid drive applications. The results show a significant dependency on the rotational speed. The general validity is studied by using boundary condition variations and two further machine designs. This procedure offers the comparison of matching qualitative results for small quantitative deviations. For detecting the impact of the manufacturing process realistic tolerance ranges are used. This investigation identifies the airgap and magnet remanence induction as the main parameters for potential torque fluctuation.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"2674 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115410066","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851344
June-Soo Park, Jong-Tae Park
Non-oriented electrical steels are widely used as core material of electrical machinery such as motors and generators. Manufacturing process such as punching and shearing is needed to produce the core with non-oriented electrical steels, but the stress induced unavoidably during the manufacturing process makes the magnetic property of core is severely deteriorated. Stress relief annealing treatment, therefore, is commonly applied to remove the harmful effect of internal residual stress in the processed core. In this paper, the effect of stress relief annealing temperature and atmosphere on microstructure and magnetic properties of fully processed non-oriented electrical steels with different grades were investigated. Cut samples were prepared by shearing and submitted to stress relief annealing with various temperature (650∼850°C) and H2 gas ratio in atmosphere (0∼30%). It was found that core loss of sample is improved as temperature increases from 650 to 850°C, while the magnetic flux density is deteriorated with increase of annealing temperature. Decrease of core loss was reasoned by grain size coarsening and shows some different tendency between samples, while decrease of magnetic flux density was caused by texture changes with annealing temperature. Increase of annealing temperature makes the coating layer is damaged and oxide layer is formed at interface between coating layer and parent metal. Increase of H2 gas ratio in annealing atmosphere also affects the magnetic properties weekly by formation of internal oxides.
{"title":"Effect of stress relief annealing temperature and atmosphere on the microstructure and magnetic properties of non-oriented electrical steels","authors":"June-Soo Park, Jong-Tae Park","doi":"10.1109/EDPC.2016.7851344","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851344","url":null,"abstract":"Non-oriented electrical steels are widely used as core material of electrical machinery such as motors and generators. Manufacturing process such as punching and shearing is needed to produce the core with non-oriented electrical steels, but the stress induced unavoidably during the manufacturing process makes the magnetic property of core is severely deteriorated. Stress relief annealing treatment, therefore, is commonly applied to remove the harmful effect of internal residual stress in the processed core. In this paper, the effect of stress relief annealing temperature and atmosphere on microstructure and magnetic properties of fully processed non-oriented electrical steels with different grades were investigated. Cut samples were prepared by shearing and submitted to stress relief annealing with various temperature (650∼850°C) and H2 gas ratio in atmosphere (0∼30%). It was found that core loss of sample is improved as temperature increases from 650 to 850°C, while the magnetic flux density is deteriorated with increase of annealing temperature. Decrease of core loss was reasoned by grain size coarsening and shows some different tendency between samples, while decrease of magnetic flux density was caused by texture changes with annealing temperature. Increase of annealing temperature makes the coating layer is damaged and oxide layer is formed at interface between coating layer and parent metal. Increase of H2 gas ratio in annealing atmosphere also affects the magnetic properties weekly by formation of internal oxides.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126702397","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851317
Christian Sand, Sabrina Kunz, Henning Hubbert, J. Franke
Large-scale production lines aim to realize 0 ppm defects. This is getting more and more complicated, due to all the so far achieved process optimizations. However, our research showed that a huge amount of unpredictable disturbance variables influences production systems, which promote defects. Here, the modelling of every single influence like temperature, machine condition, tool wear and quality of supplied parts is almost impossible, regarding a fully automated assembly line for actuators. Yet conventional methods for process optimization like Six Sigma, Kaizen, etc. usually focus on single processes and are not suited for quick reactions when disturbances occur during manufacture. Therefore, we created and evaluated a novel method based on data mining. To speed up failure detection, process data and testing results as well as batch information and new methods are required. This paper introduces an inline anomaly detection system to automatically highlight critical conditions with very low delay. Here, three independent systems analyze the data in order to detect jumps and outliers of process values and to find an anomalous distribution of defective parts within processes. For further investigations of detected malicious conditions an efficient root cause analysis for a whole production line including assembly and quality processes is introduced, which uses clustering and decision trees. Based on the detected anomalies of the system, we propose cluster algorithms to discover complex combinations of malicious process influences on the quality of the final product.
{"title":"Towards an inline quick reaction system for actuator manufacturing using data mining","authors":"Christian Sand, Sabrina Kunz, Henning Hubbert, J. Franke","doi":"10.1109/EDPC.2016.7851317","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851317","url":null,"abstract":"Large-scale production lines aim to realize 0 ppm defects. This is getting more and more complicated, due to all the so far achieved process optimizations. However, our research showed that a huge amount of unpredictable disturbance variables influences production systems, which promote defects. Here, the modelling of every single influence like temperature, machine condition, tool wear and quality of supplied parts is almost impossible, regarding a fully automated assembly line for actuators. Yet conventional methods for process optimization like Six Sigma, Kaizen, etc. usually focus on single processes and are not suited for quick reactions when disturbances occur during manufacture. Therefore, we created and evaluated a novel method based on data mining. To speed up failure detection, process data and testing results as well as batch information and new methods are required. This paper introduces an inline anomaly detection system to automatically highlight critical conditions with very low delay. Here, three independent systems analyze the data in order to detect jumps and outliers of process values and to find an anomalous distribution of defective parts within processes. For further investigations of detected malicious conditions an efficient root cause analysis for a whole production line including assembly and quality processes is introduced, which uses clustering and decision trees. Based on the detected anomalies of the system, we propose cluster algorithms to discover complex combinations of malicious process influences on the quality of the final product.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130054841","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 : 2016-11-01DOI: 10.1109/EDPC.2016.7851306
V. Dmitrievskii, V. Prakht, V. Kazakbaev, S. Oshurbekov, I. Sokolov
This paper describes some aspects of the mathematical modeling and the experimental study of the magnet-free synchronous reluctance motor (SynRM) of IE5 efficiency class (rated power is 750 W, rated speed is 3000 rpm, rated efficiency is 89.5%). The proposed mathematical model allows minimizing the number of the boundary problems which is to be solved and allows calculating power, losses, torque waveform etc. Also the results of experimental comparison of the IE5 magnet-free SynRM prototype and the serially produced magnet-free SynRM of IE4 efficiency class (rated power is 750 W, rated speed is 3000 rpm, rated efficiency is 85.6%) are presented.
{"title":"Developing ultra premium efficiency (IE5 class) magnet-free synchronous reluctance motor","authors":"V. Dmitrievskii, V. Prakht, V. Kazakbaev, S. Oshurbekov, I. Sokolov","doi":"10.1109/EDPC.2016.7851306","DOIUrl":"https://doi.org/10.1109/EDPC.2016.7851306","url":null,"abstract":"This paper describes some aspects of the mathematical modeling and the experimental study of the magnet-free synchronous reluctance motor (SynRM) of IE5 efficiency class (rated power is 750 W, rated speed is 3000 rpm, rated efficiency is 89.5%). The proposed mathematical model allows minimizing the number of the boundary problems which is to be solved and allows calculating power, losses, torque waveform etc. Also the results of experimental comparison of the IE5 magnet-free SynRM prototype and the serially produced magnet-free SynRM of IE4 efficiency class (rated power is 750 W, rated speed is 3000 rpm, rated efficiency is 85.6%) are presented.","PeriodicalId":121418,"journal":{"name":"2016 6th International Electric Drives Production Conference (EDPC)","volume":"562 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123110096","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：