P. S. Chaudhari, Prof. D. M. Patel, Dr. J. L. Juneja / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue 4, July-August 2012, pp.1025-1028 1025 | P a g e Artificial Intelligence apply for prediction of Laser Cutting Process – A review P. S. Chaudhari 1 , Prof. D. M. Patel 2 , Dr. J. L. Juneja 3 1 P. G. Student, U. V. Patel College of Engineering, Ganpat University, Kkerva, Mehsana, 2 Associate Professor, U. V. Patel College of Engineering, Ganpat University, Kkerva, Mehsana 3 Principal, Ahmedabad institute of technology, Ahmedabad - 382481 Abstract: There are many factors effective on performance of the laser cutting process. Identification of more effective factors requires which will give the significant effect on the cutting quality of materials. In recent years the researchers have explored the number of ways to improve the quality of cutting in the different lasers. This paper reviews the research work carried out so far in the area of laser cutting process and artificial intelligence. In artificial intelligence use for prediction model for given input data of laser cutting operation. Also artificial intelligence beneficial for the time saving because no next experiments are required for measuring output parameters. Key words: Artificial Intelligence, Neurons, Laser Cutting Processes. 1. Introduction: Laser: Laser is the acronym of Light Amplification by Stimulated Emission of Radiation. Laser is light of special properties, light is electromagnetic (EM) wave in visible range. Main six processes are doing for Light Emission: Absorption, Spontaneous Emission, Stimulated Emission, Population Inversion, Gain and Loss. A laser device is consisted of: (1) Laser medium like atoms, molecules, ions or semiconductor crystals; (2) Pumping process to excite these atoms into higher quantum mechanical energy levels; and (3) suitable optical feedback that allow the beam of radiation to either pass once through the laser medium or bounce back and forth repeatedly through the laser medium. Lasers have now found applications in almost every field of engineering, medicine, commercially etc. [1] Laser Cutting Process: Laser cutting is a technology that uses a laser to cut materials, and is typically used for industrial manufacturing applications, but is also starting to be used by schools, small businesses and hobbyists. Laser cutting works by directing the output of a high-power laser, by computer, at the material to be cut. The material then melts, burns, vaporizes away, or is blown away by a jet of gas, [1] leaving an edge with a high-quality surface finish. Industrial laser cutters are used to cut flat-sheet material as well as structural and piping materials. There are three main types of lasers used in laser cutting. (1) The CO 2 laser is suited for cutting, boring, and Scribing engraving. (2) The neodymium (Nd) is used for boring and where high energy but low repetitions are required. (3) Neodymium Yttrium-Aluminum-Garnet (Nd-YAG) laser is used where very high power is needed and for boring and engraving. Both CO 2 and Nd/ Nd-YAG lasers can be used for welding. Advantages of laser cutting over mechanical cutting include easier work holding and reduced contamination of work piece. Precision may be better, since the laser beam does not wear during the process. There is also a reduced chance of warping the material that is being cut, as laser systems have a small heat-affected zone. Some materials are also very difficult or impossible to cut by more traditional methods. [2] 2. Artificial Intelligence: Artificial Intelligence the branch of computer science that is concerned with the automation of intelligent behavior (Luger and Stubblefield, 1993) [3] also the art of creating machines that perform functions that require intelligence when performed by people (Kurzweil, 1990). [4] Artificial Intelligence is a branch of Science which deals with helping machines finds solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements established, which are use for prediction of result and also save the time and money of experiment work. Applications: [5]