Open Access Open Access  Restricted Access Subscription Access

Ann Based Intelligent Mechanical Engineering Design:A Review


Affiliations
1 Shaqra University College of Engineering, Kingdom of Saudi Arabia, Saudi Arabia
 Untitled  

Objectives: The application of Artificial Intelligence (AI) has perceived in all fields such as in the intelligent based control, the design of the intelligent based mechanical systems, pattern recognition-based systems, knowledge processing reveals the application of AI. Method/Statistical Analysis: In this paper, a review on the applications of ANN in the intelligent mechanical engineering systems such as diagnosis of faults in machines, the analysis of mechanical structure, geometry modelling of the mechanical structures, mechanical design and its optimization were studied and an extensive review was done. Findings: The adaption of Artificial Neural Networks (ANN) is still in the earlier stage of development especially in the field of mechanical engineering. This review points out the various applications of ANN in intelligent based systems and the potential to minimize the efforts and time and to obtain more effective system for mechanical based design and fault identification. Application/Improvements: Future enhancements in this wok are to include more applications of AI in the design of mechanical based systems.
User

  • Parlos AG, Menon SK, Atiya AF. Adaptive state estimation using dynamic recurrent neural networks. International Joint Conference on Department of Nuclear. 1999; 5:3361-4. Crossref
  • Zhao L, Sheng Z. Combination of discrete cosine transform with neural network in fault diagnosis for rotating machinery. Proceedings of the IEEE International Conference on Industrial Technology. 1996; p. 450-4. Crossref PMid:8950519
  • Poteralski A, Szczepanik M. The application of artificial intelligence in the optimal design of mechanical systems. IOP Conference Series: Materials Science and Engineering. 2016; 161(1):1-12. Crossref
  • Quintana G, Garcia-Romeu ML, Ciurana J. Surface roughness monitoring application based on artificial neural networks for ball-end milling operations. Journal of Intelligent Manufacturing. 2011; 22(4):607-17. Crossref
  • Norvig P. Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs, New Jersey. 2003. PMid:12907004
  • Meesad P, Yen GG. Pattern classification by a neuro fuzzy network: application to vibration monitoring. ISA Transactions. 2000; 39(3):293-308. Crossref
  • Mohanraj M, Jayaraj S, Muraleedharan C. Applications of ANN for refrigeration, air-conditioning and heat pump systems - A review. Journal of Renewable and Sustainable Energy Reviews. 2012; 16(2):1340-58. Crossref
  • Tanaka M. Application of Kohonen’s self-organizing network to the diagnosis system for rotating machinery. IEEE International Conference on Systems Man and Cybernetics. Intelligent Systems for the 21st Century. 1995; 5:4039-44. Crossref
  • Wang K, Gelgele HL, Wang Y, Yuan Q, Fang M. A hybrid intelligent method for modelling the EDM process. International Journal of Machine Tools & Manufacture. 2003; 43:995-9. Crossref
  • Sivanandam SN. Introduction to Neural Networks Using Matlab 6.0. Tata McGraw-Hill Education. 2006; p. 1-656.
  • Akbani I, Baghele A, Arya S. Artificial Intelligence in Mechanical Engineering: A Case Study on Vibration Analysis of Cracked Cantilever Beam. IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology. 2012; p. 1-8. PMid:23257362 PMCid:PMC3533304
  • Wen WH. Application of artificial intelligence technology in mechanical and electronic engineering. Journal of Automation and Instrumentation. 2016; 2:96-7.
  • Szczepanik M, Poteralski A, Dlugosz A, Kus W, Burczynski T. Bio-inspired optimization of thermomechanical structures. International Conference on Artificial Intelligence and Soft Computing. 2013; p. 79-90. Crossref
  • Burczynski T, Szczepanik M. Intelligent optimal design of spatial structures. Computer & Structures. 2013; 127:102-15. Crossref
  • Szczepanik M, Burczynski T. Swarm optimization of stiffeners locations in 2-D structures. Bulletin of the Polish Academy of Sciences Technical Sciences. 2012; 60(2):241-6. Crossref
  • Landay JA, Myers BA. Sketching interfaces: Toward more human interface design. EEE Journal of Computers. 2001; 34(3):56-64. Crossref
  • Mishra L, Saraswat U. Impact of Aritificial Intelligence in the Mechanical Engineering. International Journal of Mechanical and Production Engineering. 2017; 5(7):9-11.
  • Honey. Role of Artificial Intelligence in Mechanical Engineering. International Journal of Technology & Engineering. 2016; 1(1):1-6.
  • Engin SN, Gulez K. A wavelet transform-artificial neural network based rotating machinery fault diagnostics methodology. Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing. 1999; p. 1-894.
  • Baillie D, Mathew J. Diagnosing Rolling Element Bearing Faults with Artificial Neural Networks. Acoustics Australia. 1994; 22(3):79-84.

Abstract Views: 250

PDF Views: 0 PDF Views: 0




  • Ann Based Intelligent Mechanical Engineering Design:A Review

Abstract Views: 250  |  PDF Views: 0 PDF Views: 0

Authors

Hassan A. Khayyat
Shaqra University College of Engineering, Kingdom of Saudi Arabia, Saudi Arabia

Abstract


Objectives: The application of Artificial Intelligence (AI) has perceived in all fields such as in the intelligent based control, the design of the intelligent based mechanical systems, pattern recognition-based systems, knowledge processing reveals the application of AI. Method/Statistical Analysis: In this paper, a review on the applications of ANN in the intelligent mechanical engineering systems such as diagnosis of faults in machines, the analysis of mechanical structure, geometry modelling of the mechanical structures, mechanical design and its optimization were studied and an extensive review was done. Findings: The adaption of Artificial Neural Networks (ANN) is still in the earlier stage of development especially in the field of mechanical engineering. This review points out the various applications of ANN in intelligent based systems and the potential to minimize the efforts and time and to obtain more effective system for mechanical based design and fault identification. Application/Improvements: Future enhancements in this wok are to include more applications of AI in the design of mechanical based systems.

References





DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i27%2F129630