{"citation":{"apa":"Unger, A., Hunstig, M., Meyer, T., Brökelmann, M., &#38; Sextro, W. (2018). Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges. In <i>In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018</i> (Vol. Vol. 2018, No. 1, pp. 000572-000577.). <a href=\"https://doi.org/10.4071/2380-4505-2018.1.000572\">https://doi.org/10.4071/2380-4505-2018.1.000572</a>","short":"A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, W. Sextro, in: In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018, 2018.","chicago":"Unger, Andreas, Matthias Hunstig, Tobias Meyer, Michael Brökelmann, and Walter Sextro. “Intelligent Production of Wire Bonds Using Multi-Objective Optimization – Insights, Opportunities and Challenges.” In <i>In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018</i>, Vol. Vol. 2018, No. 1, pp. 000572-000577., 2018. <a href=\"https://doi.org/10.4071/2380-4505-2018.1.000572\">https://doi.org/10.4071/2380-4505-2018.1.000572</a>.","ieee":"A. Unger, M. Hunstig, T. Meyer, M. Brökelmann, and W. Sextro, “Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges,” in <i>In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018</i>, 2018, vol. Vol. 2018, No. 1, pp. 000572-000577.","mla":"Unger, Andreas, et al. “Intelligent Production of Wire Bonds Using Multi-Objective Optimization – Insights, Opportunities and Challenges.” <i>In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018</i>, vol. Vol. 2018, No. 1, pp. 000572-000577., 2018, doi:<a href=\"https://doi.org/10.4071/2380-4505-2018.1.000572\">10.4071/2380-4505-2018.1.000572</a>.","bibtex":"@inproceedings{Unger_Hunstig_Meyer_Brökelmann_Sextro_2018, title={Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges}, volume={Vol. 2018, No. 1, pp. 000572-000577.}, DOI={<a href=\"https://doi.org/10.4071/2380-4505-2018.1.000572\">10.4071/2380-4505-2018.1.000572</a>}, booktitle={In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018}, author={Unger, Andreas and Hunstig, Matthias and Meyer, Tobias and Brökelmann, Michael and Sextro, Walter}, year={2018} }","ama":"Unger A, Hunstig M, Meyer T, Brökelmann M, Sextro W. Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges. In: <i>In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018</i>. Vol Vol. 2018, No. 1, pp. 000572-000577. ; 2018. doi:<a href=\"https://doi.org/10.4071/2380-4505-2018.1.000572\">10.4071/2380-4505-2018.1.000572</a>"},"user_id":"210","date_created":"2019-05-27T10:27:45Z","department":[{"_id":"151"}],"keyword":["wire bonding","multi-objective optimization","process model","copper wire","self-optimization"],"_id":"9999","title":"Intelligent Production of Wire Bonds using Multi-Objective Optimization – Insights, Opportunities and Challenges","volume":"Vol. 2018, No. 1, pp. 000572-000577.","quality_controlled":"1","abstract":[{"lang":"eng","text":"Ultrasonic wire bonding is an indispensable process in the industrial manufacturing of semiconductor devices. Copper wire is increasingly replacing the well-established aluminium wire because of its superior electrical, thermal and mechanical properties. Copper wire processes differ significantly from aluminium processes and are more sensitive to disturbances, which reduces the range of parameter values suitable for a stable process. Disturbances can be compensated by an adaption of process parameters, but finding suitable parameters manually is difficult and time-consuming. This paper presents a physical model of the ultrasonic wire bonding process including the friction contact between tool and wire. This model yields novel insights into the process. A prototype of a multi-objective optimizing bonding machine (MOBM) is presented. It uses multi-objective optimization, based on the complete process model, to automatically select the best operating point as a compromise of concurrent objectives."}],"author":[{"first_name":"Andreas","full_name":"Unger, Andreas","last_name":"Unger"},{"last_name":"Hunstig","full_name":"Hunstig, Matthias","first_name":"Matthias"},{"last_name":"Meyer","full_name":"Meyer, Tobias","first_name":"Tobias"},{"full_name":"Brökelmann, Michael","last_name":"Brökelmann","first_name":"Michael"},{"first_name":"Walter","full_name":"Sextro, Walter","id":"21220","last_name":"Sextro"}],"project":[{"grant_number":"02 PQ2210","_id":"92","name":"Intelligente Herstellung zuverlässiger Kupferbondverbindungen"}],"status":"public","year":"2018","publication":"In Proceedings of IMAPS 2018 – 51st Symposium on Microelectronics, Pasadena, CA, 2018","date_updated":"2020-05-07T05:33:56Z","type":"conference","doi":"10.4071/2380-4505-2018.1.000572","language":[{"iso":"eng"}]}