Simulation of Dynamics of a Compound Pressure Relief Valve
Pressure relief valves uncertainty and parameter variations are of major significance in the hydraulic system operations. The use of one such valve, a compound pressure relief valve is the subject of this paper. From the deduced differential equations, MATLAB/SIMULINK simulation model developed. The pressure response of a valve with damping spool pilot poppet has been investigated and compared with the experimental results. Also simulated the effects of some critical parameters on the valve dynamic performance.
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Demand estimation for a short life cycle and novel product by using modified Markov based algorithm
This paper deals with demand prediction by combining basic exponential smoothening with Markov based algorithm. This demand prediction is suitable for novel and minimum shelf life products and is suited for small scale retailers and manufacturers, since for them acquisition of costly software tools is out of their financial reach. This paper attempts to arrive at predicting a fixed value of demand which will enhance the profit. The Exponential smoothing process involves comparing the latest observation with the previous weighted average and making a proportional adjustment, governed by the coefficient ?, known as the smoothing constant. By convention we constrain the coefficient to the range, so that only a part of the difference between the old mean and the new observation is used in the updating, 0<?<1.Initially demand is predicted by using basic exponential smoothing for two successive months and error of demand for each day is estimated. Markov based algorithm is then applied for these errors and the steady state probability is then determined for each state. The demand corresponding to the state with maximum probability is taken as the optimum one and the corresponding profit is estimated. This concept is then implemented for a baked product and the annual savings for a particular product is then established.
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Quality improvement in robotic work cells by the application of the theory of constraints
Quality refers to an equilibrium level of functionality possessed by a product or service based on the producers capability and customers need. The aim of any manufacturing concern is to increase the production and to bring down the production cost without compromising on quality. This can be achieved through the implementation of innovative managerial techniques. Theory of constraints is an innovative tool for quality and productivity improvement. A significant challenge in implementing the theory of constraints in robotic operation is the complex and re-entrant nature of the manufacturing process. This paper deals with the problem of improving quality in robotic work cells that repetitively handle several products of similar characteristics. The theory of constraint is proposed to increase the quality and throughput rate of a robotic work cell by identifying its bottlenecks
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Tensile Property Enhancement Austempered Ductile Cast Iron (ADI) by Novel Two Stepped Austempering Process
Two step austempering of ductile produces unique microstructure with excellent properties like high strength, toughness, good wear resistance, machinability at low cost. ADI primarily used in high stress machine parts, gears, crankshafts. Attempt is made to study the effect of austempering time and temperature on tensile behavior of ADI. ADI yielded from two step austempering process higher ultimate yield strength with almost no change in ductility. Mode of fracture changes from brittle to ductile with increased austempering time.
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Design of Press Brakemachine Tool and Finding its Effectiveness using Data Analysis
Press tool manufacturing is one of the widely emerging trends in production area. Basically sheet metal components are produced using press tools. In this work, Design and analysis procedure to develop bending press tool is discussed. The components manufactured using this process exhibits high dimensional accuracy therefore automobile and aircraft firm depend largely on press tools. The purpose of carrying out analysis is to prevent the costly tryouts and thus optimize the quality and rate of production.
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Domains Moderator (DM13): platform to evaluate engineering learning & teaching domains
Domain Moderator (DM13) was developed by Che Ghani Che Kob in year 2013 as a part of his Education Doctorate (EdD) research instrument to evaluate engineering students learning and lecturers teaching domains. Domain Moderator is an education instrument to measure the domains of Engineering Learning & Teaching Domains (ELTD). The ELTD model comes out to enhance the whole process of Education Measurement & Evaluation Methods. The data’s of pilot survey among 26 lecturers by using DM13 shown that among engineering lecturer are (61.5% ) at active domain,(38.5%) at reflective domain, (73.1%) at sensing domain, (26.9%) at intuitive domain, (92.3%) at visual domain, (7.7%) at verbal domain, (61.5%) at sequential, and (38.5%) at global domain. This data’s collection hopes can be use as a moderator among engineering lecturers to success in Outcome Based Education (OBE) at Polytechnics & College Community, KPM, MALAYSIA.
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Folding electrical cycle
As an engineer we need to solve the problems facing the present society. One among them is pollution it is very serious problem. One of the major cause for the pollution releasing of methane gas to the environment from the vehicle. To reduce this folding electrical cycle is a small effort which helps to reduce the pollution and provide more comforts to the rider. In this cycle we are arranging lithium battery to reduce the mechanical work done by the rider & folding experiences the rider more reliable,comfortable & portable to the rider
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Application of Value Stream Mapping with Value Engineering in Furniture Manufacturing Small Scale Industry
The purpose of this paper is to develop a plan for reducing a lead time in a small scale furniture manufacturing industry by using Value Stream Mapping Technique with Value Engineering. In this paper VSM technique is applied in furniture manufacturing small scale industry to identify the ways of reducing waste while at the same time increasing the proportion of the processes that add value to the product. The wastes in this furniture industry is mostly in the form of over production, transportation and delay. The reasons observed are inadequate coordination among the operators, improper planning, non effective use of machine, improper flow etc. Here the flow process chart is constructed to calculate the number of operation, transportation, delay, inspection and storage with distance travelled by the product for existing and proposed methods in which considerable saving is achieved. Also the Current and Future VSM is created for small scale furniture industry which manufactures office tables. In this the lead time can be reduced considerably with the reduction in NVA time and the process time. There is a considerable rise in VA time of 10.41% with the value addition by modification of the table with less process time.
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White Layer – A significant effect on damping capacity
Damping is the material's ability to dissipate elastic strain energy during cyclic loading. Materials with high damping capacity are significant in the present day scenario for transportation and other industrial applications. The development of materials with high damping capacity is one of the efficient measures to reduce vibrations, thereby noise. Low weight materials like aluminum and magnesium have excellent mechanical properties, but poor in damping.
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FSW of Aluminium alloys – Energy model for taper tool geometry
Friction-stir welding has received a huge interest in the last few years. The many advantages of this promising process have led researchers to present different theoretical and experimental explanation of the process. The way to quantitatively and qualitatively control the different parameters of the friction-stir welding process has not been paved. In this study, a refined energy based model that estimates the energy generated due to friction and plastic deformation is presented. The effect of the plastic deformation at low energy levels is significant and hence a scale factor is introduced to control its effect. The predicted heat energy and the obtained maximum temperature using the present model are compared to the theoretical and experimental results available in the literature and a good agreement is obtained.
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