Asian Review of Mechanical Engineering (ARME) is a half-yearly international peer-reviewed journal of Mechancial Engineering. One of the objectives of this journal is to disseminate knowledge on various research issues connected with the topics include, but are not limited to:

Statics and dynamics
Strength of materials and solid mechanics
Instrumentation and measurement
Thermodynamics, heat transfer, energy conversion, and HVAC
Combustion, automotive engines, fuels
Fluid mechanics and fluid dynamics
Mechanism design (including kinematics and dynamics)
Manufacturing engineering, technology, or processes
Hydraulics and pneumatics
Engineering design
Product design
Mechatronics and control theory
Material Engineering
Design engineering, Drafting, Computer-Aided Design (CAD) (including solid modeling), and Computer-Aided Manufacturing (CAM)

Nowadays, glass fiber reinforced plastics (GFRP) composites play a vital role new line in many engineering applications as an alternative to various heavy exotic materials. Newline in GFRP polymeric composites, the matrix of polymer (resin) is reinforced with glass line fibers. Glass fiber reinforced plastics are increasingly used for variety of engineering new line applications from automobile to air craft components because of their superior new line advantages when compared to the other engineering materials. Turning of GFRP composite materials is a rather complex task owing to its heterogeneity and the number of problems. The Problems are surface delimitation, which appear during the machining process that is associated with the characteristics of the material and the cutting parameters. Optimization of machining parameters is an important process in machining. Experiments were conducted based on the established Taguchi’s technique L9 orthogonal array on a lathe machine. The cutting parameters are speed, feed rate, and depth of cut on the surface roughness, machining timing and material removal rate produced. The performances of the various parameters are evaluated by measuring surface roughness and material removal rate. The results indicate that the developed model is suitable for prediction of surface roughness and material removal rate in machining of glass fiber reinforced plastics composites. The percentage of contribution was analyzed speed parameter 80% for surface roughness feed parameter 66%for machining timing s and feed parameter 64% for MRR.