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This effort is an era of automation where manual effort is replaced by mechanical power in all degrees of automation. A gear is a rotating machine part having cut teeth which mesh with another toothed part to transmit torque. Gears facilitate change of speed, torque and direction of power source. Gears can be manufactured by a variety of processes including casting, machining, forging, extrusion, powder metallurgy and blanking. One of the common ways of making spur gears is by using a milling gear cutter in universal milling machine. CNC machines are also employed in large scale industries for continuous production of gears. Though, small scale industries could not afford a CNC machine for performing this single task. This paper involves the introduction of a detachable setup in an existing drilling machine for making spur gears and also the elimination of manual handling. The detachable setup consists of a special sleeve for holding the milling gear cutter and a cross slide for linear bed movement. The circular indexing table is replaced by DC Stepper Motor for step indexing of the work piece. Automation of this process of gear cutting is achieved by employing Arduino UNO. This project eliminates the need of separate machines for gear cutting and drilling operations. By using this detachable setup in drilling machine we can perform gear cutting operation in drilling machine itself. This project would find its way in small scale industries where they could not afford to buy a milling machine for performing this single task.
Keywords:
Arduino UNO, gear cutting, Nema 34 DC Stepper motor, RMCS-1101 Motor Driver.
Cite Article:
"INVENTIVE CREATION OF ARDUINO PROGRAMMED GEAR CUTTING IN DRILLING MACHINE", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 3, page no.30 - 41, March-2017, Available :http://www.ijrti.org/papers/IJRTI1703007.pdf
Downloads:
000205319
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator