Biography

Prof Ir Dr Ahmad Razlan Yusoff holds a PhD in the area of Mechanical Engineering from the University of Sheffield, United Kingdom in 2010. Before that, he was studied B.Eng (Hons) and MSc in the same area from Universiti Sains Malaysia, Malaysia in 2000 and 2013. He received study sponsorship award in his degree, master and PhD study, the best papers in international conferences (IDECON, ICMER, AIGEV) and several medal awards in several local and international exhibitions (Archimedes, MTE, IENA, I-TEX, BIS, MOSTI, and CITReX). He also received a Professional Engineer from Board of Engineers Malaysia, Chartered Engineer from I-MechE, UK, the best UMP supervisor award (Engineering category), UMP excellent service award (2006, 2013, 2017, 2018), Cendekia Bitara (2011, 2015, 2016, 2017), and UMP community figure award (2016). He joined University of Sheffield as a PhD student and researcher where he participated in 3 ESPRC grants (UK). At present, he is a professor, UMP senate member and deputy dean of Institute of Postgraduate Studies and former deputy dean of academic and research in the Faculty of Manufacturing Engineering at Universiti Malaysia Pahang, Pahang, Malaysia. His research interests include Advanced Machining Technology, Tool, Die & Mold and Vibration Applications and received several research grants as a leader including national research grants such as FRGS(2), PRGS(1), MTUN(2) and E-Science(1) with an amount of RM1.023 mil (USD206,000). Dr. Razlan has graduated 4 PhD students, 10 master students and more than 55 final year project students, now actively supervised 5 PhD students and have published 10 books, 85 journals and 65 conference papers in several conferences. He also appointed as external examiners and advisors for 8 technical institutions and university in Malaysia. In the national level, as FRGS panel appointed by Ministry of Higher Education and Malaysia Qualification Agency (MQA), Engineering Accreditation Council (EAC) and Engineering Technology Accreditation Council (ETAC) panels for Board of Engineers, Malaysia, and I-TEX research product exhibition panel. He also served internationally as Guest and Visiting Professor at several universities in Turkey, Indonesia, and Japan. At industry, he appointed as Research Fellow in several national and international companies such as Sapura Machining, TT Electronics, VAC and Prasarana for consultation jobs.

Area of Interest:

Physical Science Engineering

100%

Machining Technologies

62%

Vibration Analysis

90%

Metal Forming

75%

Machine Tools

55%

Research Publications in Numbers

Books
0

Chapters
0

Articles
0

Abstracts
0

Selected Publications

Shahrom, M.S. and A.R. Yusoff, 2017. Cyclic extrusion compression back pressure technique for hot forging process in direct recycling of aluminium 6061 machining chip. J. Manufact. Process., 29: 1-9.
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Harun, M.H.S., M.F. Ghazali and A.R. Yusoff, 2017. Analysis of tri-axial force and vibration sensors for detection of failure criterion in deep twist drilling process. Int. J. Adv. Manufact. Technol., 89: 3535-3545.
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Bagaber, S.A. and A.R. Yusoff, 2017. Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316. J. Cleaner Prod., 157: 30-46.
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Yusoff, A.R., 2016. Identifying bifurcation behavior during machining process for an irregular milling tool geometry. Measurement, 93: 57-66.
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Shaharun, M.A. and A.R. Yusoff, 2016. Effects of irregular tool geometry and machining process parameters on the wavelength performance of process damping in machining titanium alloy at low cutting speed. Int. J. Adv. Manufact. Technol., 85: 1019-1033.
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Selamat, Z.A., N.B. Baba, M. Alias, A.R. Yusoff and M.M. Rahman, 2016. Effect of coolant nozzle sizes on turning aluminum alloy AL319. Indian J. Sci. Technol., Vol. 9. .
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Najiha, M.S., M.M. Rahman and A.R. Yusoff, 2016. Environmental impacts and hazards associated with metal working fluids and recent advances in the sustainable systems: A review. Renewable Sustain. Energy Rev., 60: 1008-1031.
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Lim, S.K., W.H. Azmi and A.R. Yusoff, 2016. Investigation of thermal conductivity and viscosity of Al₂O₃/water-ethylene gylcol mixturenanocoolant for cooling channel of hot-press forming die application. Int. Commun. Heat Mass Transfer, 78: 182-189.
Jamil, N. and A.R. Yusoff, 2016. Electromagnetic actuator for determining frequency response functions of dynamics modal. Measurement, 82: 355-366.
Harun, M.H.S., M.F. Ghazali and A.R. Yusoff, 2016. Tri-axial time-frequency analysis for tool failures detection in deep twist drilling process. Procedia CIRP., 46: 508-511.
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Zamri, M.F. and A.R. Yusoff, 2015. Heuristic optimisation of cooling channel design in the hot stamping die for hot stamping process. Adv. Mater. Process. Technol., 1: 27-35.
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Nowalid, W.M.A., M.A. Shaharun and A.R. Yusoff, 2015. Effect of lubrication conditions to the cutting force coefficients in machining process. Adv. Mater. Res., 1115: 55-58.
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Najiha, M.S., M.M. Rahman and A.R. Yusoff, 2015. Flank wear characterization in aluminum alloy (6061 T6) with nanofluid minimum quantity lubrication environment using an uncoated carbide tool. J. Manufact. Sci. Eng., Vol. 137. 10.1115/1.4030060.
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Azraai, M.R., G. Priyandoko, A.R. Yusoff and M.F.F.A. Rashid, 2015. Parametric optimization of magneto-rheological fluid damper using particle swarm optimization. Int. J. Automot. Mech. Eng., 11: 2591-2599.
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Yusoff, A.R., M.H. Mansor, H.C. Hussain and M.A.Z. Abidin, 2014. Analytical chatter stability prediction for irregular types of milling tools. Mater. Sci. Forum, 773: 420-426.
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Taha, Z., A.R. Yusoff, Mohamd M.F. Sharif, M.A.H. Saharudin and M.F. Zamri, 2014. Comparison of cooling performance between high thermal conductivity steel (HTCS 150) and hot work tool steel (SKD 61) insert for experimental tool using finite element analysis. Adv. Mater. Res., 903: 163-1687.
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Shahrom, M.S., A.R. Yusoff and M.A. Lajis, 2014. Taguchi method approach for recyling chip waste from machining aluminum (AA6061) using hot press forging process. Adv. Mater. Res., 845: 637-641.
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Shahrom, M.S. and A.R. Yusoff, 2014. Review on chip aluminium machining using direct recycling process. Applied Mech. Mater., 529: 157-162.
Shaharun, M.A., A.R. Yusoff and M.S. Reza, 2014. Mechanism of variable helix tools in suppressing chatter using process damping for machining titanium alloys at low cutting speed. Mater. Sci. Forum, 773: 370-376.
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Razman, M.A., G. Priyandoko and A.R. Yusoff, 2014. Bouc-Wen model parameter identification for a MR fluid damper using particle swarm optimization. Adv. Mater. Res., 903: 279-284.
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Nawawi, Z., N. Ismail and A.R. Yusoff, 2014. The effect of vibration and vehicle body movement of car suspension systems due to different damper characteristics in cornering tests. Applied Mech. Mater., 471: 14-19.
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Jamil, N., A.R. Yusoff and M.H. Mansor, 2014. Experimental study of the static modal analysis on milling machine tool. Adv. Mater. Res., 903: 123-128.
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Hussain, H.C. and A.R. Yusoff, 2014. Optimization of electro discharge machining parameters for drilling titanium in small holes using taguchi method. Adv. Mater. Res., 930: 129-134.
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Ariffin, S.Z., A.R. Yusoff and M.M. Rahman, 2014. The effect of various diameters orifice nozzle coolant on surface roughness performance in CNC turning. Adv. Mater. Res., 903: 169-174.
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Shahron, M.S., N.M. Yahaya and A.R. Yusoff, 2013. Taguchi method on effect of lubrication condition on surface roughness in milling operation. Proc. Eng., 53: 536-541.
Mohamad, S.M. and A.R. Yusoff, 2013. Improvement of take-away water cup design by using concurrent engineering approach. Proc. Eng., 53: 536-541.
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Hassan, M.F., A.R. Yusoff, M.H. Mansor and M.T.C. Kar, 2013. Parametric study of an electromagnetic energy harvester. Applied Mech. Mater., 471: 113-118.
Yusoff, A.R., M.F. Hassan and M.H. Mansor, 2012. Multiobjective optimization of milling tool geometry for chatter suppression and productivity improvement. Adv. Mater. Res., 445: 21-26.
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Suffian, M.R.Z.M., S.R. Aisyah and A.R. Yusoff, 2012. Multiple objective of EDM injection flushing type parameter using grey-Taguchi. J. Mech. Eng. Sci., Vol. 2. .
Najiha, M.S., M.M. Rahman, M. Kamal, A.R. Yusoff and K. Kadirgama, 2012. Minimum quantity lubricant flow analysis in end milling processes: A computational fluid dynamics approach. J. Mech. Eng. Sci., 3: 340-345.
Mustafa, H., A.R. Yusoff and M.Y. Ismail, 2012. Productivity study and line balancing of manufacturing production line. Adv. Mater. Res., 576: 700-704.
Jamil, N., A.R. Yusoff and M.H. Mansor, 2012. Literature review of electromagnetic actuator force generation for dynamic modal testing applications. J. Mech. Eng. Sci., 3: 311-319.
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Yusoff, A.R. and N.D. Sims, 2011. Optimisation of variable helix tool geometry for regenerative chatter mitigation. Int. J. Mach. Tools Manufact., 51: 133-141.
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Yusoff, A.R. and N.D. Sims, 2011. Determination of optimal variable helix and variable pitch tool geometry for chatter suppression in milling process. J. Adv. Manufact. Technol., 5: 45-60.
Yusof, T.M. and A.R. Yusoff, 2011. Analysis for optimum refrigerant charge of a mini bar refrigerator using experimental method. J. Eng. Technol., 4: 1-12.
RazlanYusoff, A., M.R.Z.M. Suffian and M.Y. Taib, 2011. Literature review of optimization technique for chatter suppression in machining. J. Mech. Eng. Sci., 1: 47-61.
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Hatifi, M.M., M.F. Hassan and A.R. Yusoff, 2011. Simulation study of cutting tool system using intelligent active force control. J. Mech. Eng. Sci., 1: 62-74.
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Yusoff, A.R., S. Turner, C.M. Taylor and N.D. Sims, 2010. The role of tool geometry in process damped milling. Int. J. Adv. Manufact. Technol., 50: 883-895.
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Yusoff, A.R., Z. Ghazalli and H.C. Hussain, 2009. Determining optimum EDM parameters in drilling a small hole by Taguchi method. Int. J. Manufact. Technol. Manage., 17: 345-352.
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Yusoff, A.R. and I.A. Azid, 2009. Biomass boiler emission analysis using artificial neural network. J. Teknol., 50: 15-28.
Yusoff, A.R. and I. Abdul Aziz, 2008. Combining genetic algorithm and artificial neural network to optimize biomass steam power plant emission. J. Mech. Eng., 5: 1-15.
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Yusoff, A.R.B. and I.A. Aziz, 2004. Sensitivity analysis via artificial neural network of biomass boiler emission. J. Mekanikal, 18: 66-77.
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Ahmad, A.L., I.A. Azid, A.R. Yusof and K.N. Seetharamu, 2004. Emission control in palm oil mills using artificial neural network and genetic algorithm. Comput. Chem. Eng., 28: 2709-2715.
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Azid, I.A., A.R. Yusoff, K.N. Seetharamu and A.L. Ahmad, 2003. Application of back propagation neural network in predicting palm oil mill emission. ASEAN J. Sci. Technol. Dev., 20: 71-86.
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