Developmental Trajectories in Electrical Steel Technology Using Patent Information

Recently there has been growing demand for low-electricity consuming transformers and electric vehicles due to global trend of reducing use of fossil fuels and the role of electrical steel became important. Tracing and analyzing research trend and development of electrical steel will give insight for development of R&D direction and strategies. We used patent citation network and GBFP (Genetic Backward-Forward Path analysis) to identify technological trajectories of electrical steel domain and patent contents with other papers to qualitatively analyze research trend of the domain. As a result, we found that some sub-domains of electrical steel domain had close technological relationship to each other in their developmental paths and suggested further R&D direction in the electrical steel technology.

[1]  Dongwoo Kang,et al.  An SAO-based text mining approach to building a technology tree for technology planning , 2012, Expert Syst. Appl..

[2]  Jiancheng Guan,et al.  Measuring science–technology interactions using patent citations and author-inventor links: an exploration analysis from Chinese nanotechnology , 2011 .

[3]  E. Beyer,et al.  Laser Cutting and Mechanical Cutting of Electrical Steels and its Effect on the Magnetic Properties , 2014, IEEE Transactions on Magnetics.

[4]  Y. Kang,et al.  Developments in the production of grain-oriented electrical steel , 2008 .

[5]  T. Kubota.  Recent Progress on Non‐oriented Silicon Steel , 2005 .

[6]  Tohru Iuchi,et al.  Laser processing for reducing core loss of grain oriented silicon steel , 1982 .

[7]  Y. Oda,et al.  Recent development of non-oriented electrical steel sheet for automobile electrical devices , 2008 .

[8]  G. H. Cole,et al.  Grain-oriented iron-silicon alloys , 1953, Electrical Engineering.

[9]  Christopher L. Magee,et al.  Technology structural implications from the extension of a patent search method , 2014, Scientometrics.

[10]  Önder Nomaler,et al.  Measuring knowledge persistence: a genetic approach to patent citation networks , 2014 .

[11]  Lee Fleming,et al.  Special Issue on Design and Development: Recombinant Uncertainty in Technological Search , 2001, Manag. Sci..

[12]  Christopher L. Magee,et al.  Tracing Technological Development Trajectories: A Genetic Knowledge Persistence-Based Main Path Approach , 2016, PloS one.

[13]  S. Fortunati,et al.  Recent Technology Developments in the Production of Grain‐Oriented Electrical Steel , 2005 .

[14]  Arianna Martinelli,et al.  An emerging paradigm or just another trajectory? Understanding the nature of technological changes using engineering heuristics in the telecommunications switching industry , 2012 .

[15]  M. Littmann,et al.  Iron and silicon-iron alloys , 1971 .

[16]  Kwangsoo Kim,et al.  Identification of promising patents for technology transfers using TRIZ evolution trends , 2013, Expert Syst. Appl..

[17]  Darja Steiner Petrovi.  NON-ORIENTED ELECTRICAL STEEL SHEETS , 2010 .

[18]  S. Washko,et al.  Evidence for the effectiveness of stress coatings in improving the magnetic properties of high permeability 3% Si-Fe , 1979 .

[19]  O. Sorenson,et al.  Technology as a complex adaptive system: evidence from patent data , 2001 .

[20]  Munetsugu Matsuo,et al.  Texture Control in the Production of Grain Oriented Silicon Steels , 1989 .

[21]  Sungchul Choi,et al.  Investigation of Strategic Changes Using Patent Co-Inventor Network Analysis: The Case of Samsung Electronics , 2016 .

[22]  Christopher L. Magee,et al.  A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field , 2013, Scientometrics.

[23]  Bart Verspagen,et al.  Mapping Technological Trajectories as Patent citation Networks: a Study on the History of Fuel Cell Research , 2007, Adv. Complex Syst..

[24]  A. J. Moses,et al.  Electrical steels : past, present and future developments , 1990 .

[25]  Duen-Ren Liu,et al.  Discovering competitive intelligence by mining changes in patent trends , 2010, Expert Syst. Appl..

[26]  Kwangsoo Kim,et al.  Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks , 2011, Scientometrics.

[27]  Christopher L. Magee,et al.  Quantitative empirical trends in technical performance , 2016 .