@article{kumar_bharadwaj_starly_lynch_2022, title={FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85133404195&partnerID=MN8TOARS}, DOI={10.48550/arXiv.2206.10318}, abstractNote={As the demands for large-scale information processing have grown, knowledge graph-based approaches have gained prominence for representing general and domain knowledge. The development of such general representations is essential, particularly in domains such as manufacturing which intelligent processes and adaptive education can enhance. Despite the continuous accumulation of text in these domains, the lack of structured data has created information extraction and knowledge transfer barriers. In this paper, we report on work towards developing robust knowledge graphs based upon entity and relation data for both commercial and educational uses. To create the FabKG (Manufacturing knowledge graph), we have utilized textbook index words, research paper keywords, FabNER (manufacturing NER), to extract a sub knowledge base contained within Wikidata. Moreover, we propose a novel crowdsourcing method for KG creation by leveraging student notes, which contain invaluable information but are not captured as meaningful information, excluding their use in personal preparation for learning and written exams. We have created a knowledge graph containing 65000+ triples using all data sources. We have also shown the use case of domain-specific question answering and expression/formula-based question answering for educational purposes.}, journal={arXiv}, author={Kumar, A. and Bharadwaj, A.G. and Starly, B. and Lynch, C.}, year={2022} }
 @inproceedings{kumar_bharadwaj_starly_lynch_2022, title={FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85139121316&partnerID=MN8TOARS}, booktitle={SUKI 2022 - Workshop on Structured and Unstructured Knowledge Integration, Proceedings of the Workshop}, author={Kumar, A. and Bharadwaj, A.G. and Starly, B. and Lynch, C.}, year={2022}, pages={1–8} }
 @article{kumar_starly_2021, title={"FabNER": information extraction from manufacturing process science domain literature using named entity recognition}, volume={33}, ISSN={["1572-8145"]}, url={https://doi.org/10.1007/s10845-021-01807-x}, DOI={10.1007/s10845-021-01807-x}, number={8}, journal={JOURNAL OF INTELLIGENT MANUFACTURING}, author={Kumar, Aman and Starly, Binil}, year={2021}, month={Jun} }
 @article{kumar_dinakaran_2021, title={Textbook to triples: Creating knowledge graph in the form of triples from AI textbook}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85120030716&partnerID=MN8TOARS}, journal={arXiv}, author={Kumar, A. and Dinakaran, S.}, year={2021} }
 @inbook{alam_khan_iqbal_kumar_jha_2020, title={Design and Development of Cartridge-Based Automated Fluid Delivery System for Ball End Magnetorheological Finishing Process}, url={https://doi.org/10.1007/978-981-32-9487-5_67}, DOI={10.1007/978-981-32-9487-5_67}, abstractNote={Ball end magnetorheological finishing (BEMRF) is a nanofinishing process, and the surface characteristic of the finished product plays a major role. In this process, the volume of polishing fluid affects the quality of the finished surface. Therefore, there arises a need for automated supply of precise and controlled volume of polishing fluid in BEMRF process. In the present work, a new fluid delivery system (FDS) is developed that supplies a precise amount of material-specific polishing fluid to finish different materials under varying finishing parameters by automated delivery of fluid stored in cylindrical-shaped cartridge. Apart from this, since the composition of the polishing fluid is material-specific, it requires continuous change of polishing fluid for finishing of different materials. This becomes extremely expensive and time-consuming with the existing system of polishing fluid being mixed in a large stirrer tank and supplied to the tool tip via a peristaltic pump. The cartridge-based FDS helps in addressing these issues by allowing economical and quick change of material-specific polishing fluid composition. The new FDS is also equipped with radio frequency identification (RFID) technique which verifies the material-specific fluid and only then supplies the fluid for finishing application.}, author={Alam, Z. and Khan, D. A. and Iqbal, F. and Kumar, A. and Jha, S.}, year={2020} }
 @article{kumar_alam_khan_jha_2018, title={Nanofinishing of FDM-fabricated components using ball end magnetorheological finishing process}, volume={34}, ISSN={1042-6914 1532-2475}, url={http://dx.doi.org/10.1080/10426914.2018.1512136}, DOI={10.1080/10426914.2018.1512136}, abstractNote={ABSTRACT Fused deposition modeling (FDM) is among the extensively used and the most economical additive manufacturing processes. Currently, the surface finish obtained for FDM additive manufactured parts are not at par with the current industrial application. To overcome the limitation of high surface roughness of 3D printed parts, a novel finishing technique has been proposed which includes primary and secondary finishing processes. While facing and lapping has been used as primary finishing technique, the secondary finishing involves the use of ball end magnetorheological finishing (BEMRF) process. BEMRF process is an unconventional finishing process which utilizes an advanced approach to impart finish on magnetic as well as non-magnetic materials that may be flat or freeform in shape. This article presents the experimental and analytical study to finish a polylactic acid (PLA) workpiece material manufactured by FDM process and finished using the BEMRF technique. The surface roughness of the FDM component has been reduced from initial surface roughness Ra = 20 µm to final value of Ra = 81 nm by combined primary and secondary finishing processes. The effect of magnetorheological polishing (MRP) fluid’s composition and finishing time is discussed and is followed by optimization of MRP fluid for maximum percentage reduction in surface roughness.}, number={2}, journal={Materials and Manufacturing Processes}, publisher={Informa UK Limited}, author={Kumar, Aman and Alam, Zafar and Khan, Dilshad Ahmad and Jha, Sunil}, year={2018}, month={Sep}, pages={232–242} }