Workpiece surface temperature for in-process surface roughness prediction using response surface methodology
As manufacturing technology has been moving to the stage of full automation over the years, one of the fundamental requirements is the ability to accurately predict the output performance of machining processes. The focus of present study is to predict surface roughness using the workpiece surface t...
| Main Authors: | Suhail, Adeel H., Ismail, Napsiah, Wong, Shaw Voon, Abdul Jalil, Nawal Aswan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Asian Network for Scientific Information
2011
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/23030/ http://psasir.upm.edu.my/id/eprint/23030/1/Workpiece%20surface%20temperature%20for%20in-process%20surface%20roughness%20prediction%20using%20response%20surface%20methodology.pdf |
Similar Items
Optimization of cutting parameters based on surface roughness and assistance of workpiece surface temperature in turning process
by: Suhail, Adeel H., et al.
Published: (2010)
by: Suhail, Adeel H., et al.
Published: (2010)
In-process surface roughness monitoring based on workpiece surface temperature for turning operations
by: Suhail, Adeel H.
Published: (2011)
by: Suhail, Adeel H.
Published: (2011)
Optimization of cutting parameters on turning process based on surface roughness using response surface methodology
by: Yusuf, Muhammad, et al.
Published: (2012)
by: Yusuf, Muhammad, et al.
Published: (2012)
Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology
by: Moola, Mohan Reddy, et al.
Published: (2011)
by: Moola, Mohan Reddy, et al.
Published: (2011)
Study on the effects of nozzle distance to surface roughness of workpiece under minimum quantity lubricant (MQL) milling process
by: Firdaus Shazriq, Mohd Fadzil, et al.
Published: (2018)
by: Firdaus Shazriq, Mohd Fadzil, et al.
Published: (2018)
Modeling and analysis of MRR, EWR and surface roughness in
EDM milling through response surface methodology
by: Asif Iqbal, A.K.M., et al.
Published: (2010)
by: Asif Iqbal, A.K.M., et al.
Published: (2010)
Modelling the surface roughness behaviour of an EDMed workpiece with different tool electrodes using DoE
by: Mohammed Baba, Ndaliman, et al.
Published: (2013)
by: Mohammed Baba, Ndaliman, et al.
Published: (2013)
Modelling the surface roughness behaviour of an EDMed workpiece with different tool electrodes using DoE
by: Ndaliman, Mohammed Baba, et al.
Published: (2013)
by: Ndaliman, Mohammed Baba, et al.
Published: (2013)
Cutting parameters identification using multi adaptive network based fuzzy inference system: an artificial intelligence approach
by: Suhail, Adeel H., et al.
Published: (2011)
by: Suhail, Adeel H., et al.
Published: (2011)
Mathematical modeling to predict surface roughness in milling process
by: Gan, Sin Yi
Published: (2008)
by: Gan, Sin Yi
Published: (2008)
In process surface roughness measurement
by: Mohan-Kumar, Balasundaran, et al.
Published: (2009)
by: Mohan-Kumar, Balasundaran, et al.
Published: (2009)
Effects of TiN single layer coating on the wear of ZTA cutting inserts and surface roughness of workpiece
by: Ahmad Azhar, Ahmad Zahirani, et al.
Published: (2017)
by: Ahmad Azhar, Ahmad Zahirani, et al.
Published: (2017)
Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI H13 tool steel
by: Hafiz, A. K. M., et al.
Published: (2007)
by: Hafiz, A. K. M., et al.
Published: (2007)
Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel
by: Hafiz, A.M. Khalid, et al.
Published: (2007)
by: Hafiz, A.M. Khalid, et al.
Published: (2007)
Optimization of surface roughness in milling by using response surface method (RSM)
by: Mohd Aizuddin, Mat Alwi
Published: (2010)
by: Mohd Aizuddin, Mat Alwi
Published: (2010)
PREDICTION OF THE BENDING STRENGTH
USING RESPONSE SURFACE METHODOLOGY
by: ahmad kamely, mohamad, et al.
Published: (2011)
by: ahmad kamely, mohamad, et al.
Published: (2011)
The experimental study of effect of grinding process on thermal and surface roughness
by: Mohd Helmi, Abd Jalil
Published: (2010)
by: Mohd Helmi, Abd Jalil
Published: (2010)
Effects of workpiece preheating on surface roughness, chatter and tool performance during end milling of hardened steel D2
by: Amin, A. K. M. Nurul, et al.
Published: (2008)
by: Amin, A. K. M. Nurul, et al.
Published: (2008)
Effects of workpiece preheating on surface roughness, chatter and tool performance during end milling of hardened steel D2
by: Amin, A. K. M. Nurul, et al.
Published: (2008)
by: Amin, A. K. M. Nurul, et al.
Published: (2008)
Study On The Effect Of Tool Nose Wear On Surface Roughness And Dimensional Deviation Of Workpiece In Finish Turning Using Machine Vision.
by: Haghighi, Hamidreza Shahabi
Published: (2008)
by: Haghighi, Hamidreza Shahabi
Published: (2008)
Study Of The Surface Integrity Of The Machined Workpiece In The Wedm Of Tungsten Carbide
by: Mas Ayu, Hassan, et al.
Published: (2008)
by: Mas Ayu, Hassan, et al.
Published: (2008)
Study on machinability effect of surface roughness in milling kenaf fiber reinforced plastic composite (unidirectional) using response surface methodology
by: Harun, Azmi, et al.
Published: (2016)
by: Harun, Azmi, et al.
Published: (2016)
Research and modelling of surface roughness, cutting forces and I-kaz coefficients for S42C in turning using response surface methodology
by: Samin, Razali, et al.
Published: (2019)
by: Samin, Razali, et al.
Published: (2019)
Influence of cutting parameters on surface roughness for wet and dry turning process.
by: Mohd Ariffin, Mohd Khairol Anuar, et al.
Published: (2011)
by: Mohd Ariffin, Mohd Khairol Anuar, et al.
Published: (2011)
Overview on the Response Surface Methodology (RSM)
in Extraction Processes
by: Khairul Anwar, Mohamad Said, et al.
Published: (2015)
by: Khairul Anwar, Mohamad Said, et al.
Published: (2015)
Optimization of surface texture in milling using response surface methodology
by: Syahrizad, Muhamad
Published: (2010)
by: Syahrizad, Muhamad
Published: (2010)
Mathematical Modeling to Predict Surface Roughness in CNC Milling
by: M. F. F., Ab Rashid, et al.
Published: (2009)
by: M. F. F., Ab Rashid, et al.
Published: (2009)
Particle Swarm Optimisation Prediction Model for Surface Roughness
by: M. M., Noor, et al.
Published: (2011)
by: M. M., Noor, et al.
Published: (2011)
Effect of laser surface modification on SS316L surface roughness and laser heating temperature
by: Zaifuddin, A. Q., et al.
Published: (2022)
by: Zaifuddin, A. Q., et al.
Published: (2022)
Modeling of milling process to predict surface roughness using artificial intelligent method
by: Mohammad Rizal, Abdul Lani
Published: (2009)
by: Mohammad Rizal, Abdul Lani
Published: (2009)
Surface Roughness Prediction for CNC Milling Process using Artificial Neural Network
by: M. F. F., Ab Rashid, et al.
Published: (2010)
by: M. F. F., Ab Rashid, et al.
Published: (2010)
Prediction of flank wear and surface roughness by recurrent neural network in turning process
by: W. K., Lee, et al.
Published: (2021)
by: W. K., Lee, et al.
Published: (2021)
Surface roughness of sputtered silicon. I. surface modeling
by: Ali, Mohammad Yeakub, et al.
Published: (2001)
by: Ali, Mohammad Yeakub, et al.
Published: (2001)
Adhesion of bacterial on metal surfaces : effect of surface roughness
by: Noratiqah, Chik
Published: (2015)
by: Noratiqah, Chik
Published: (2015)
Mathematical modeling of surface roughness in surface grinding operation
by: Mohamad, Ahmad Kamely, et al.
Published: (2011)
by: Mohamad, Ahmad Kamely, et al.
Published: (2011)
Mathematical modeling of surface roughness in surface grinding operation
by: Mohamad, Ahmad Kamely, et al.
Published: (2011)
by: Mohamad, Ahmad Kamely, et al.
Published: (2011)
Cellulose recovery from sawdust : optimization of concentration, pretreatment time and temperature by using response surface methodology
by: Nasuha, Jalil
Published: (2010)
by: Nasuha, Jalil
Published: (2010)
Response surface design model to predict surface roughness when machining hastelloy C-2000 using uncoated carbide insert
by: Nurul Hidayah, Razak, et al.
Published: (2012)
by: Nurul Hidayah, Razak, et al.
Published: (2012)
Tool wear prediction in turning using workpiece surface profile images and deep learning neural networks
by: Lim, Meng Lip, et al.
Published: (2022)
by: Lim, Meng Lip, et al.
Published: (2022)
Prediction of concrete residual compressive strength under elevated temperatures: Response surface methodology (RSM) approach
by: Ho, C. M., et al.
Published: (2024)
by: Ho, C. M., et al.
Published: (2024)
Similar Items
-
Optimization of cutting parameters based on surface roughness and assistance of workpiece surface temperature in turning process
by: Suhail, Adeel H., et al.
Published: (2010) -
In-process surface roughness monitoring based on workpiece surface temperature for turning operations
by: Suhail, Adeel H.
Published: (2011) -
Optimization of cutting parameters on turning process based on surface roughness using response surface methodology
by: Yusuf, Muhammad, et al.
Published: (2012) -
Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology
by: Moola, Mohan Reddy, et al.
Published: (2011) -
Study on the effects of nozzle distance to surface roughness of workpiece under minimum quantity lubricant (MQL) milling process
by: Firdaus Shazriq, Mohd Fadzil, et al.
Published: (2018)