Wu, Z., & Ghariban, N. (2014, June), Design of Laboratory Apparatus for Temperature Prediction in Turning Process  Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2--20262

\bibitem{asee_peer_20262}
  Wu, Z., \& Ghariban, N. (2014, June), \emph{Design of Laboratory Apparatus for Temperature Prediction in Turning Process}
  Paper presented at 2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana.
  10.18260/1-2--20262

Zhenhua Wu and Nasser Ghariban.  "Design of Laboratory Apparatus for Temperature Prediction in Turning Process".  2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana, 2014, June.  ASEE Conferences, 2014.  https://peer.asee.org/20262 Internet.  19 Apr, 2024

\bibitem{asee_peer_20262}
  Zhenhua Wu and Nasser Ghariban.
  "Design of Laboratory Apparatus for Temperature Prediction in Turning Process".
  \emph{2014 ASEE Annual Conference \& Exposition, Indianapolis, Indiana, 2014, June}.
  ASEE Conferences, 2014.
  https://peer.asee.org/20262 Internet.  19 Apr, 2024

@INPROCEEDINGS{asee_peer_20262
author = "Zhenhua Wu and Nasser Ghariban"
title = "Design of Laboratory Apparatus for Temperature Prediction in Turning Process"
booktitle = "2014 ASEE Annual Conference \& Exposition"
year = "2014"
month = "June"
address = "Indianapolis, Indiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/20262}
number = {10.18260/1-2--20262}
}

TY  - CPAPER
AB  -          Design of Laboratory Apparatus for Temperature Prediction in Turning Process                  Zhenhua Wu1ƚ, Sean James2, Ray Prosise2, Nasser Ghariban1                   1                     Department of Engineering, 2 Department of Technology     School of Engineering and Technology, Virginia State University, Petersburg, VA 23806                                                  AbstractPrecise prediction of temperature rising is vital to control thermal deformation in the machiningprocess. In order to illustrate heat generation in turning processes for “ManufacturingProcesses” course, an experimental apparatus including hardware, software and experimentprotocol was designed and integrated. The effects of cutting parameters, including cuttingdepth, spindle speed, and feed rate, on the temperature rising on turning process wasexamined. Design of experiment and embedded thermocouple measurement were applied tocover the cutting parameters and collect the experimental data. After collecting temperaturedata with full factorial experiment, statistical analysis including analysis of variance (ANOVA),main effect, interactive effect and regression analysis was conducted. This experiment trainsstudents on machining, sensors, data acquisition, and statistical analysis. Two undergraduatesresearch intern worked on the experiment in the summer. It identified that all the three cuttingparameters positively affected the temperature rising. Linear and quadratic mathematic modelsmapping the temperature rising and cutting parameters were deducted with an R2 value of0.78. Analysis on the cutting chips also identified the effect of cutting parameters on thetemperature rising. The results were analyzed statistically and graphically. The suggestedmodels of chip-tool interface temperature can be satisfactorily applied on convenient mappingbetween temperature rising and cutting parameter settings within the range of cuttingconditions considered in turning process. This temperature prediction approach can be extendedto other machining processes such as milling, drilling etc.Keywords: Experiment Design, Temperature Prediction, Turning, Spindle Speed, Feed rate,Cutting Depthƚ Corresponding author: Zhenhua Wu, Assistant Professor, P.O. Box 9032, Department of Engineering, VirginiaState University, Email: zwu@vsu.edu, Phone: 804-524-1079, Fax: 804-524-6732.                                                                                                             1
AU  - Zhenhua Wu
AU  - Nasser Ghariban
CY  - Indianapolis, Indiana
DA  - 2014/06/15
PB  - ASEE Conferences
TI  - Design of Laboratory Apparatus for Temperature Prediction in Turning Process
UR  - https://peer.asee.org/20262
DO  - 10.18260/1-2--20262
ER  -