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New CEC Gasoline Direct Injection Fuels Test – Comparison of Deposits and Spray Performance from New and Used injectors.

Afton Chemical, Ltd.-Jonathan James Pilbeam, Alex Robert Thomson
Birmingham University-Hongming Xu
  • Technical Paper
  • 2019-28-2392
To be published on 2019-11-21 by SAE International in United States
The use of deposit control additives in European market gasoline is well documented for maintaining high levels of engine cleanliness and subsequent sustained fuel and emissions performance. Co-ordinating European Council (CEC) industry fuels tests have played a crucial role in helping to drive market relevant, effective and low-cost deposit control additives into European market fuels. Until now, there has not been a Gasoline Direct Injection engine test available to fuel marketers in any market globally. However, a new CEC engine test is currently being developed to address that gap. Based on an in-house VW injector coking test, it shows promise for becoming a useful tool with which to develop and measure the performance of deposit control additives. A key requirement of industry tests should be to replicate issues seen in consumer vehicles, thereby providing a platform for relevant solutions. For this paper, injectors from the new VW injector coking test in a clean and coked state were compared to injectors from vehicles in the market in respect of deposit geometry, elemental composition and injector spray…
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Digital Twins for Prognostic Profiling

Altair Engineering India Pvt Ltd.-Painuri Thukaram, Sreeram Mohan
  • Technical Paper
  • 2019-28-2456
To be published on 2019-11-21 by SAE International in United States
Digital Twins for Prognostic Profiling Authors: Sreeram Mohan*, Painuri Thukaram**, Panduranga Rao*** Objective / Question: Ability to have least failures in products on the field with minimum effort from the manufacturers is a major area of focus driven by Industry 4.0 initiatives. Amidst traditional methods of performing system / subsystem level tests often does not enable the complete coverage of a machine health performance predictions. This paper highlights a workable workflow that could be used as a template while considering system design especially employing Digital Twins that help in mimicking real-life scenarios early in the design cycle to increase product’s reliability as well as tend to near zero defects. Methodology: With currently available disruptive technologies , systems are integrated multi-domain 'mechatronics' systems operating in closed-loop/close-interaction. This poses great challenges to system health monitoring as failure of any component can trigger catastrophic system failures. It may be the reason that component failures, as per some aerospace reports, are found to be major contributing factors to aircraft loss-of-control. Essentially, it is either too expensive or impossible to…
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Development of a Graphical User Interface (GUI) Based Tool for Vehicle Dynamics Evaluation

Mahindra & Mahindra, Ltd.-Divyanshu Joshi, Saravanan Muthiah
Mahindra Research Valley-Shubham Kedia
  • Technical Paper
  • 2019-28-2397
To be published on 2019-11-21 by SAE International in United States
Title Development of a Graphical User Interface (GUI) Based Tool for Vehicle Dynamics Evaluation Authors Mr. Shubham Kedia, Dr. Divyanshu Joshi, Dr. Muthiah Saravanan Mahindra Research Valley, Mahindra & Mahindra, Chennai Objective Objective metrics for evaluation of major vehicle dynamics performance attributes i.e. ride, handling and steering are required to compare, validate and optimize dynamic behavior of vehicles. Some of these objective metrics are recommended and defined by ISO and SAE, which involve data processing, statistical analysis and complex mathematical operations on acquired data, through simulations or experimental testing. Due to the complexity of operations and volume of data, evaluation is often time consuming and tedious. Process automation using existing tools such as MS Excel, nCode, Siemens LMS, etc. includes several limitations and challenges, which make it cumbersome to implement. In the current work, a GUI based post-processing tool is developed for automated evaluation of ride, handling and steering performance. Methodology This work is about development of a centralized platform for quantification, visualization and comparison of ride, handling and steering performance metrics from testing and…
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Tool Condition Monitoring in Face Milling Process Using Decision Tree and Statistical Features of Vibration Signal

B S Abdur Rahman Crescent Institute of Science & Technology-Pradeep Kumar Durairaj, Muralidharan Vaithiyanathan
Published 2019-10-11 by SAE International in United States
In milling process, the quality of the machined component is highly influenced by the condition of the tool. Hence, monitoring the condition of the tool becomes essential. A suitable mechanism needs to be devised in order to monitor the condition of the tool. To achieve this, condition monitoring of milling tool is taken up for the study. In this work, the condition of the tool is classified as good tool and tool with common faults in face milling process such as flank wear, worn out and breakage of the tool based on machine learning approach using statistical feature and decision tree technique. Vibration signals of the milling tool are obtained during machining of mild steel. Statistical features are extracted from the obtained signal, in which the important features are selected using decision tree. The selected features are given as the input to the same algorithm. The output of the algorithm is utilized for classifying the different conditions of the tool. The experimental results show that the accuracy of decision tree technique is at the acceptable…
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Experimental Study on Tool Wear and Cutting Temperature during Machining of Nimonic C-263 and Waspaloy Based on Taguchi Method and Response Surface Methodology

Sri Sairam Engineering College-Vetri Velmurugan Kannan
Vellore Institute of Technology-Venkatesan Kannan, Devendiran Sundararajan
Published 2019-10-11 by SAE International in United States
Nickel based materials of Nimonic C-263 and Waspaloy are used nowadays for aerospace applications owing to its superior strength properties that are maintained at a higher temperature. Tool wear and cutting temperature in the vicinity of cutting edge are two essential machinability characteristics for any cutting tool. In this regard, this study is pursued to examine the influence of factors on measuring of tool wear (Vba) and cutting temperature (Ts) during dry machining of two alloys studied experimentally based on Taguchi method and response surface methodology. Taguchi’s L16 orthogonal array is used to design the experiment and a PVD (TiAlN), CVD (TiN/Al2O3/TiCN) coated carbide inserts are used on turning of two alloys. The factor effect on output responses are studied using analysis of variance, empirical models, and responses surface 3D plots. To minimize the response and to convert into one single optimum level, responses surface desirability function approach is applied. The results show that progress of flank wear associated with Waspaloy is faster that of Nimonic C-263 due to high cutting temperature for Waspaloy that…
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Vision Based Surface Roughness Characterization of Flat Surfaces Machined with EDM

BSA Crescent Institute of Science & Technology-Mahashar Ali, Siddhi Jailani, Mangalnath Anandan, Vignesh Pavithran
Vellore Institute of Technology-Murugan Mariappan
Published 2019-10-11 by SAE International in United States
Surface roughness measurement is an important one in any manufacturing next to dimensions. In this investigation, a vision system and image processing tools were used to develop reliable surface roughness characterization technique for Electrical Discharge Machined surfaces. A CMOS camera with red LED light source were used for capturing images of EDMed surfaces. A separate signal vector generated for all the images from its image pixel intensity matrices. The mean, skewness and kurtosis were obtained from the signal vector. The mean, skewness and kurtosis of the images signal vector correlates very well with the stylus measured hybrid roughness parameters Rda and Rdq. Hence the technique may be preferred for online surface roughness characterization of Electrical Discharge Machined (EDMed) surfaces.
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Multi Characteristics Optimization of Treated Drill Tool in Drilling Operation Key Process Parameter Using TOPSIS and ANOVA Technique

SRM Institute of Science and Technology-Sundar Singh Sivam Sundarlingam Paramasivam, Aishik Banerjee, Avanti Kulkarni
Published 2019-10-11 by SAE International in United States
To survive in the present global competitive world, the manufacturing sectors have been making use of various tools to achieve the high quality products at a comparatively cheaper price. Appropriate cutting set up must be used to further better the machinability of a work piece material. A longer life of the tools and equipment’s are important factors in any industry. Since the inception of the machine tool industry, cutting tool life and tool wear remain a subject of deep interest to study its failure and improvement. The present study finds out the optimum cutting results in drilling of AM60 magnesium alloy using different cryogenically treated cutting inserts. The Utility concept coupled with Taguchi with Multi response approach (TOPSIS) was employed. According to Analysis of variance (ANOVA) results, the feed was the major dominating factor followed by the cutting speed. This work deals with optimization approaches for the determination of the optimum process parameters by cryogenically treated drill HSS tools which minimizes surface roughness, torque, tool life, entry burr and tool cost, and maximizes material removal…
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Corrosion Characteristics on Friction Stir Welding of Dissimilar AA2014/AA6061 Alloy for Automobile Application

Bannari Amman Institute of Technology-Sadhasivam Deepankumar, Anbalagan Ramakrishnan, Dinesh Dhanabalan
Vellore Institute of Technology-Govindasamy Rajamurugan, Prabu Krishnasamy
Published 2019-10-11 by SAE International in United States
Friction Stir Welding (FSW) is a widely used solid state welding process in which its heats metal to the below recrystallization temperature due to frictional force. FSW mostly avoids welding defects like hot cracking and porosity which are mainly occur in conventional welding techniques. In this process the combination of frictional force and the mechanical work provide heating the base metal to get defect free weld joints. Aluminium Alloys 2014 and 6061 are generally used in a wide range of automobile applications like Engine valves and tie rod, shipbuilding, and aerospace due to their high corrosion resistance, lightweight, and good mechanical properties. In the present work, aluminium alloys of AA6061 and AA2014 were effectively welded by friction stir welding technique. The tool rotational speed, travel speed, and tool profile are the important parameters in FSW process. High Speed Steel (HSS) tool with Hexagonal profile is used for this joining. The tool rotational speed is varied form 700, 1000 and 1400 rpm and the travel speed is varied from 25, 30 and 50 mm/min. From the…
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Experimental Study on Verification of Alloy ASTM A510 High-Speed Micro Turning by Parameters Validation through Ranking Algorithm

SRM Institute Of Science And Technology-Sundar Singh Sivam Sundarlingam Paramasivam, Durai Kumaran, Krishnaswamy Saravanan, Raj Rajendran
Tishk International University-Ganesh Babu Loganathan
Published 2019-10-11 by SAE International in United States
In the details and assembly, in the range of less than 1 mm, the number of functions increases, and the demand for industrial products in which the size and characteristics of components are decreasing is increasing. Micromachining is the most basic technology for producing these small parts and components. In this study, a series of turning operations, micromachining parameters, were performed under microscopic conditions to obtain the best response for the benefit of the industry. The needle is very high. Speed (3000, 3500, 4000 rpm), pre- (20, 40, 80 μm / sec), depth of cut (0.2.0.4.0.8 μm), tool radius (0.4.08, 1, 2 mm). Surface quality, material removal rates, energy consumption, and tool wear differences for various input process variables were investigated. Once the experiment is complete, we will develop an optimization strategy for this set of input parameters to improve responsiveness using the Grey Relational Analysis (GRA) and ANOVA. Therefore, the model can create micro-process parameters to achieve the highest product accuracy and improved performance.
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Improvement of Mechanical Properties, and Optimization of Process Parameters of AISI 1050 Spheriodized Annealed Steel by Ranking Algorithm

SRM Institute of Science and Technology-Durai Kumaran, Sundar Singh Sivam Sundarlingam Paramasivam, Krishnaswamy Saravanan, Raj Rajendran
Tishk International University-Ganesh Babu Loganathan
Published 2019-10-11 by SAE International in United States
AISI 1050 is used in the production of landing gear, actuators and other aerospace components but their application is limited due to machinability of the material. In any metal cutting operation the features of tools, input work materials, machine parameter settings will influence the process efficiency and output quality characteristics. A significant improvement in process efficiency may be obtained by process parameter optimization that identifies and determines the regions of critical process control factors leading to desired outputs or responses with acceptable variations ensuring a lower cost of manufacturing. This experimental study elucidates the problems and machinability issues like failure of tools and accuracy are found while machining and less output in machining. In the present study of spherodizing heat treatment of AISI 1050 was investigated during the turning operation in CNC lathe, under the consideration of several turning process parameters. The microstructures of the as-received, and heated specimens were investigated by Optical Microscopy (OM). A correlation between various process parameters on the desired response namely surface finish, roundness Material Removal Rate (MRR), power consumption…
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