IJAPIE

VOLUME-2 ISSUE-4


 

 

International Journal of Advanced Production and Industrial Engineering (IJAPIE) Volume 2 Issue 4 


 

Influence of Surface Textures on the Wear Rate of the Steel and Lead Bronze Alloy Tribopair

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-411.pdf

Title: Influence of Surface Textures on the Wear Rate of the Steel and Lead Bronze Alloy Tribopair

Authors: Jatin Gautam, Abhishek Dhawan, Sarthak Sethi, Nikhil Chopra, Vipin K. Sharma

Abstract: Surface texturing has gained momentum as a way to control the friction and wear between the tribo pairs. The present work evaluate the effects of textured and untextured surfaces on the tribological properties of the Lead bronze alloy. Comparison of un-textured tribopairs between EN31 steel and Lead bronze alloy and textured EN31 steel specimen and lead bronze alloy has been evaluated on the basis of wear. Starved lubrication technique was used for the experiments. The pin on disc experiments were performed at 206, 324 and 505 rpm at a constant load of 20 N. It is observed that the wear rate of lead bronze alloy was found to be lower on untextured tribopairs at low rpm and as the rpm increases the wear rate of untextured tribopair was more as compared to textured tribopair.

 

An Experimental Study of Mechanical Behavior of Natural Fiber Reinforced Polymer Matrix Composites

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-412.pdf

Title: An Experimental Study of Mechanical Behavior of Natural Fiber Reinforced Polymer Matrix Composites

Authors: Sanatan Ratna , Sheelam Misra

Abstract: Fibre-reinforced polymer composites have played a dominant role for a long time in a variety of applications for their high specific strength and modulus. The fibre which serves as a reinforcement in reinforced plastics may be synthetic or natural. Past studies show that only synthetic fibres such as glass, carbon etc., have been used in fibre reinforced plastics. Although glass and other synthetic fibre-reinforced plastics possess high specific strength, their fields of application are very limited because of their inherent higher cost of production. In this connection, an investigation has been carried out to make use of horse hair, an animal fibre abundantly available in India. Animal fibres are not only strong and lightweight but also relatively very cheaper than mineral fibre. The present work describes the development and characterization of a new set of animal fiber based polymer composites consisting of horse hair as reinforcement and epoxy resin. The newly developed composites are characterized with respect to their mechanical characteristics. Experiments are carried out to study the effect of fibre length on mechanical behavior of these epoxy based polymer composites. Composite made form horse hair can be used as a potential reinforcing material for many structural and non-structural applications. This work can be further extended to study other aspects of such composites like effect of fiber content, loading pattern, fibre treatment on mechanical behavior of horse hair based polymer.              

 

Friction Stir Processing of Aluminium Alloys for Improving Mechanical and Properties         

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-413.pdf

Title: Friction Stir Processing of Aluminium Alloys for Improving Mechanical and Properties      

Authors: Sumit Jain, R. S. Mishra

Abstract: A new micro structural modifications technique was developed by the Welding Institute (TWI) of United Kingdom in 1991 is known as Friction stir processing (FSP). The FSP is a newer technique used for refining and homogenizing the grain structure of metal sheet. Friction stir processing is a great potential in the field of super-plasticity and metal matrix composites. Many investigators observed that the FSP greatly enhances super-plasticity in many Al alloys. It is a is a solid-state processing technique based on friction stir welding technique in which a specially designed rotating cylindrical tool that comprises of a probe and shoulder. The probe of the tool is inserted into the sheet material while rotating and the shoulder moves over the surface of the sheet, and then traverses in the desired direction. The contact between the rotating probe and the sheet material generate heat due to friction which softens the material and the mechanical stirring caused by the probe, the material within the processed zone undergoes intense plastic deformation yielding a dynamically-recrystallized fine grain microstructure. The friction stir processing of aluminum alloy with two or more reinforcement particles individually and in mixed form for finding the effect of different reinforcement addition i.e. groove method and drill hole method so that tribological and mechanical properties(i.e. ultimate tensile strength, strain rate, corrosion resistance and wear resistance improved.      


Types of Piston Ring Coatings – A Review

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-414.pdf

Title: Types of Piston Ring Coatings – A Review

Authors: Nidhish Mann, Navendu Gupta, Deepak Kumar, Shailesh Singh, Shailesh Mani Pandey

Abstract: In the current scenario, there is a global drive for light as well as heavy duty vehicles to meet the legal norms of vehicle emission. The surface engineering approach has emerged to be the possible solution which is attracting increasing attention worldwide. Through this approach certain light alloys such as Al, Mg and Ti are employed to utilise the best of their properties towards fuel and energy saving thereby enhancing the overall component life. This review paper caters to give an idea of a broad category of engineered surfaces that are currently being adopted by automotive industry to tackle the surface degradation due to wear, corrosion, fretting and fatigue. Since the field of surface engineering is vast as it has found application in other industries as well, therefore, certain examples have been cited which are primarily focussed towards automotive engineering.   


To Study the Effect of Reinforced Natural Fibres Ash on the Mechanical Properties of Aluminium Matrix Composites

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-415.pdf

Title: To Study the Effect of Reinforced Natural Fibres Ash on the Mechanical Properties of Aluminium Matrix Composites

Authors: Vipasa Tiwary, Prateek Sharma, Chirag Khurana, Saksham Gupta, Ravi Butola, Himmat singh

Abstract: Aluminium alloys reinforced with natural ash exhibit superior mechanical properties tounreinforced Al alloys. Most of the research work is carried out to develop composites using various recycled waste. In our project, we are trying to develop an Aluminium matrix composite reinforced with various natural ashes which includes Rice Husk Ash and Ground Nut Ash. In this paper these different effects and properties are studied for reinforcing materials such as natural ashes which include Rice Husk Ash (RHA), and Groundnut Shell Ash (GSA) Properties like hardness, ultimate tensile strength, fracture toughness etc have been studied rigorously and been summarise. In this report we will optimize it with the help of software called Quantum XL.Which utilizes the Design of experiment technique for the optimization. Such optimization process is necessary for the improvement in the properties of Aluminium composites reinforced with natural ashes.

 

Wear Behavior Studies of AS Cast and T6 Heat Treated Al30Mg2Si4Fe Alloy at Elevated Temperature                        

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-416.pdf

Title: Wear Behavior Studies of AS Cast and T6 Heat Treated Al30Mg2Si4Fe Alloy at Elevated Temperature

Authors: Annapurna B. Hosalli,   D. G. Mallapur

Abstract: In present work, a comparative study on the wear behaviour of as cast and heat treated Al30Mg2Si4Fe is investigated using a pin-on-disc wear testing machine at constant sliding velocities from 1 to 4m/s and normal loads from 10 to 50N. The investigation revealed improved results in the heat treated condition as compared to the as cast ones. Wear rate of materials in T6 heat treated decreases as solutionized hardness of the materials increases as in comparison to as cast ones. In addition, heat treated aluminium alloy shows the uniform distribution of grains. The literature indicates that smaller (<10μm) more equiaxed Si and Si based intermetallic particles in Al-Si alloys exhibit superior wear resistance. The most potential or capable alloying element which is meant for producing Al-Si alloys with enhanced properties is iron. The results indicated improvement in wear resistance and co efficient of friction with increase in load and speed in case of heat treated condition than as cast and also improved microstructure from coarse structure to finer needle like structure.


Experimental Investigations on Polymeric Materials to Study the Effect of Drilling Parameters Using Artificial Neural Networks (ANNs)

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-417.pdf

Title: Experimental Investigations on Polymeric Materials to Study the Effect of Drilling Parameters Using Artificial Neural Networks (ANNs)

Authors: Simrat Singh, Aman Gulyani, Ranganath M. S, Rani Medhashree, Gaurav Kumar, Md. Anas , Darshil Parmar

Abstract: Drilling is one of the most widely used machining operations in industries. The general problem that occurs in drilling is poor surface roughness. It was found that proper parameter selection plays a vital role in reducing the surface roughness and errors. In this paper efforts are made to reduce the above mentioned problem while drilling different polymers with the help of Artificial Neural Network (ANN) modelling technique.Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true for ANNs as well. Today, the polymer industry has grown larger than the aluminum, copper and steel industries combined. Polymers already have a range of applications that far exceed that of any other class of materials available to man. Current applications extend from adhesives, coatings, foams, and packaging materials to textile and industrial fibres,composites,electronic devices, biomedical devices, optical devices, and precursors for many newly developed high-tech ceramics. The general machining parameters considered in drilling operations are spindle speed and feed rate. Optimization must be done to increase the material removal as well as to improve the whole quality. In this paper, Models have been generated for thrust values and surface roughness in drilling (with HSS tool) using three polymers namely Nylon, Acetal and PVC, using artificial neural networkWeighted and Bias values obtained from Artificial Neural Network can be used to predict values of thrust and surface roughness for any values of cutting parameters. 

 

Optimization of various parameters on Electrical Discharge Machining using Taguchi Optimization Technique for EN-31 Tool Steel

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-418.pdf

Title: Optimization of various parameters on Electrical Discharge Machining using Taguchi Optimization Technique for EN-31 Tool Steel

Authors: Roop lal , Aaruni purohit , Ramakant Rana

Abstract: Electro Discharge Machining Processes are used when no other traditional machining process, like drilling, milling, grinding and other traditional machining operation can meet the necessary requirements efficiently and economically. This research will deal with an approach for optimising the parameters for Electric Discharge Machining (EDM). It is a process that is being used in industry for die making purposes specially in the Automobile and Aerospace Industry. The problems associated with the EDM a tendency of alloying with the electrode resulting in increased tool wear and subsequent impairment of the machining quality. The complicated behaviour of this process will be analysed to set the optimum parameters to get good quality machining. Moreover four important process parameters, namely electrode materials, current, pulse off time, and pulse on time are considered as the factors influencing the quality of machining surface. Experiments have been carried out to study and optimise the Electrode Wear Rate and Material Removal Rate, while the operational parameters are materials, current, pulse off time, and pulse on time. Based on the experiments the dependency of Electrode Wear Rate and Material Removal Rate on operational parameters are found.       


Analysis of fluid flow characteristics at various Reynold's number over a propeller used for UAV

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-419.pdf

Title: Analysis of fluid flow characteristics at various Reynold's number over a propeller used for UAV

Authors: Yamika Patel, Srinivas Krovvidi

Abstract: Enhancing the application of mini-UAVs and MAVs are the reason of increasing keen interest in evaluation of fluid flow characteristic and power of small scale propellers. When comparing the operating condition of small scale propeller with the propeller of aircraft it is shown that these small scale propellers operate on the lower value of Reynold's no. As performance characteristic of propeller changes by varying the Reynold's no, so it is difficult to predict the propeller performance at lower value of Reynold's no. So to analyze the effect of Reynold's no. on UAVs propeller,study of 11 in. is done on fluent on various operating conditions it is shown by the result that there is improvement in the performance of propeller on increasing the value of Reynold's no. in terms of thrust coefficient and power coefficient. Computational Fluid Dynamics solver (CFD) i.e., Fluent is used to replicate the experimental result and this software has a great computational accuracy and has a good initial prediction. Although result is mesh independent coarse mesh refinement is used.            

 

Study and Applications of Fuzzy System and Fuzzy Logic in Manufacturing

Posted      :  25  Oct  2017 4:00 PM PST

File        :  IJAPIE-2017-10-420.pdf

Title: Study and Applications of Fuzzy System and Fuzzy Logic in Manufacturing

Authors: Rushil batra, Rani Medhashree, Ranganath M.S.

Abstract: Due to ever increasing complexities in the systems at the core of which lies vagueness, uncertainty and imprecision in information, Fuzzy Logic has found widespread use in medicinal sciences, behavioral sciences and engineering. Fuzzy systems are applied to artificial intelligence for representing the knowledge of experts or acquired through learning process. Additionally, fuzzy systems provide a rich and robust method of building systems that include multiple conflicting, cooperating, and collaborating knowledge. It is a method specifically developed to incorporate uncertainty by processing information termed as grey (white for perfect information and black for complete absence of information) into a decision making model. 
Fuzzy based inference systems or FIS provide a much simplified platform where the development and analysis of models require reduced development time than other approaches. This has resulted in its widespread within the industry as well for a wide variety of applications. It considers variables to be included in a set based on their degrees of membership, rather than absolute membership. Instead of precision and accuracy, fuzzy logic carries along a level of tolerance for imprecision. Fuzzy logic attempts to mimic the human mind to effectively employ modes of reasoning that are approximate rather than exact. By allowing for the inclusion of imprecision in memberships, fuzzy logic allows for the detection of imprecise dependencies among concepts. The approach differs from the use of crisp sets in which an element is either a member of the set or not. Fuzzy sets, on the other hand, allow elements to be partially in a set. Each element is given a degree of membership in a set. This membership value can range from 0 (not an element of the set) to 1 (a member of the set). It is clear that if one only allowed the extreme membership values of 0 and 1, that this would actually be equivalent to crisp sets. A membership function is the relationship between the values of an element and its degree of membership in a set. The proposition of fuzzy set theory especially Fuzzy Inference System (FIS) led to an explosion of its application in diverse fields including manufacturing owing to their ability to handle numeric and linguistic information in the same framework. This research focuses on application of these intelligent systems to manufacturing and attempts to find the reason behind its widespread acceptance beginning with small history of evolution of artificial intelligence and fuzzy logic. It then gives a clear picture regarding the background of the techniques prominently used and fuzzy logic as a whole. The study then clearly demarcates the application of FIS and fuzzy techniques in a variety of industries and research purposes. This paper presents the use of FIS in widely varying manufacturing scenarios including machining, welding, decision making and optimization. The emphasis is first laid down on a review of various fuzzy tools and their evolution and applications. It is then shifted to area specific application of FIS, its combination with neural networks and design of experiments.