Leveraging Information Retrieval Pipelines for Inventive Design: Application in Efficient Lattice Structures Manufacturing

Résumé

In the contemporary landscape of technological advancement, artificialintelligence (AI) holds immense potential to address complex issues. This studyaims at exploring AI’s applicability in the initial stages of inventive design processes,specifically focusing on the initial situation analysis and resolution phases.It emphasizes leveraging information retrieval techniques, for the efficient designof innovative lattice structures, a noteworthy industrial challenge encompassingmass production at low cost. The approach entails formulating a TRIZ basedcontradiction query in natural language and implementing an intricate informationretrieval pipeline using a meticulously analyzing vast patent databases, asthey epitomize a significant knowledge pool in the realm of technological innovations.This research underscores the nuanced challenges associated with optimizingretrieval pipelines to ensure reliable and contextually relevant data extraction.Ultimately culminating in the development of novel lattice structures, our findingsaccentuate new horizons in industrial production.

BibTeX

@inproceedings{ayaou:hal-04813499,
  TITLE = {{Leveraging Information Retrieval Pipelines for Inventive Design: Application in Efficient Lattice Structures Manufacturing}},
  AUTHOR = {Ayaou, Iliass and Chibane, Hicham and Koch, Simon and Cavallucci, Denis},
  URL = {https://hal.science/hal-04813499},
  NOTE = {Part 3: Interdisciplinary and Cognitive Approaches in TRIZ},
  BOOKTITLE = {{World Conference of AI-Powered Innovation and Inventive Design}},
  ADDRESS = {Cluj-Napoca, Romania},
  EDITOR = {Denis Cavallucci and Stelian Brad and Pavel Livotov},
  PUBLISHER = {{Springer Nature Switzerland}},
  SERIES = {IFIP Advances in Information and Communication Technology},
  VOLUME = {AICT-736},
  PAGES = {321-329},
  YEAR = {2024},
  MONTH = Nov,
  DOI = {10.1007/978-3-031-75923-9\_21},
  KEYWORDS = {3D print ; Lattice structures ; TRIZ ; Natural language processing ; Information retrieval ; Artificial intelligence ; Inventive Design},
  PDF = {https://hal.science/hal-04813499v1/file/638204_1_En_21_Chapter_OnlinePDF.pdf},
  HAL_ID = {hal-04813499},
  HAL_VERSION = {v1},
}