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The conventional optimization process in Injection Moulding includes actual shop floor trials in which melt temperature, mould temperature, injection time, injection pressure, pattern, feeder size, shape and location cores, mould layout, gating etc. are changed in each iteration which involves high machining cost, tooling cost, modification cost, melting cost, and transportation cost as well as, materials, energy, time are wasted in each trial until and unless the required results are obtained. Water meter component (DN20 Vent) is designed in CREO 5.0, and then components are 3D printed to cross check the dimensions and also to confirm whether all the other components can be accommodated or not. Then the mould flow analysis will be performed on a water meter components using different materials and changing the processing parameters. The input processing parameters considered are melt temperature, mould temperature and injection time, whereas the responses are warpage, volumetric shrinkage, cycle time and quality prediction. Grey relational analysis is carried out to determine the optimum injection moulding processing parameters.. The effort has been made to minimize the warpage, volumetric shrinkage, cycle time and maximize the quality prediction mould cavity and core for the components are designed in CREO 5.0 and manufactured using P20 tool steel. Then the water meter components are manufactured by inputting the optimal processing parameters in injection moulding machine to achieve high productivity and quality.

Machining is the most fundamental process in manufacturing industry. The heat generated on the working surface of the tool during machining is critical to determining the dimensional accuracy and surface quality of the workpiece. Conventional cutting fluids are hazardous to the health of workers and cause environmental pollution. This paper focuses on the effect of vegetable oil-based nanofluid on the machining performance in turning of EN19 steel through Minimum Quantity Lubrication (MQL). Canola oil is used as a base lubricant with various inclusions of boric acid powder nanoparticles. Machining parameters such as tool temperature and cutting forces are measured during machining. After processing, the surface roughness of the part is measured. The change in the temperature of the cutting tool and the roughness of the processed surface, depending on the cutting speed and feed, is studied at various percentages of suspensions of nano boric acid in canola oil. From the results of analysis it is found that cutting force, tool temperature and surface roughness decreased with increasing percentage of boric acid nanoparticles. [ABSTRACT FROM AUTHOR]