Browse Topic: Machining processes

Items (1,701)
ABSTRACT Ground vehicles are complex systems with many interrelated subsystems - finding the sweet-spot among competing objectives such as performance, unit cost, O&S costs, development risk, and growth potential is a non-trivial task. Whole Systems Trade Analysis (WSTA) is a systems analysis and decision support methodology and tool that integrates otherwise separate subsystem models into a holistic system view mapping critical design choices to consequences relevant to stakeholders. As a highly integrated and collaborative effort WSTA generates a holistic systems and Multiple Objective Decision Analysis (MODA) model. The decision support model and tool captures and synthesizes outputs from individual analyses into trade-space visualizations designed to facilitate rapid and complete understanding of the trade-space to stakeholders and provide drill down capability to supporting rationale. The approach has opened up trade space exploration significantly evaluating up to 1020+ potential
Edwards, ShatielCilli, MatthewPeterson, TroyZabat, MikeLawton, CraigShelton, Liliana
The primary objective of this article is to study the improvement of machining efficiency of EN-31 steel by optimizing turning parameters using newly developed cutting fluids with different proportions of aloe vera gel and coconut oil, utilizing the Taguchi technique. Furthermore, performance metrics including material removal rate (MRR), surface roughness, and tool wear rate (TWR) were assessed. Analysis of variance (ANOVA) suggested that as cutting speed and feed increase, the MRR is positively influenced, but likewise tool wear is intensified. The surface roughness exhibited a positive correlation with cutting speed, and a negative correlation with increasing both cutting speed and feed. It was found that the maximum MRR value was attained at a cutting speed of 275 m/min, a feed rate of 1.00 mm/rev, and a cutting fluid composition of 30% aloe vera and 70% coconut oil. For the best surface smoothness, it is advisable to adjust the cutting speed to 350 m/min and the feed rate to 0.075
Premkumar, R.Ramesh Babu, R.Saiyathibrahim, A.Murali Krishnan, R.Vivek, R.Jatti, Vijaykumar S.Rane, Vivek S.Balaji, K.
This specification provides processing and acceptance requirements for electrical discharge machining (EDM) when applied to the manufacturing of parts
AMS B Finishes Processes and Fluids Committee
The EN24 and EN42 materials were machined by the electric discharge machine (EDM). The study aimed to optimize the input variables for the multiple outputs, such as metal removal rate (MRR), tool wear rate (TWR), and surface roughness. The machining of the metal is essential to analyze the surface quality and the production rate. The MRR is a prediction of the production rate and surface roughness resembling the quality of the surface. The input variables were current (A), pulse on time (ton), and pulse duty factor (T). The three levels of current were 3A, 6A, and 9A. The ton time was selected as 30 μs, 50 μs, and 70 μs. The pulse duty factors were selected as 4, 5, and 6. The Taguchi optimization techniques are used to optimize process parameters. The L9 orthogonal array was selected for the process. ANOVA analysis was employed to check the rank of the input parameters relative to the output. The maximum MRR were at 9A, 70 μs, and 4 duty factor for the EN24. The best MRR were at 9A
Sahu, Kapil DevSingh, RajnishChauhan, Akhilesh Kumar
In this investigation, AA6351 alloy matrix composites with a larger volume proportion of SiC (20 wt%) were fabricated and tested for microstructure and mechanical behavior. Composites were hot extruded from mechanically milled matrix and reinforcements. Hot extrusion uniformly distributed reinforcements in the matrix and strengthened phase interaction. Mechanical ball milling causes AA6351 powder to become more homogeneous, reducing the mean particle size from 38.66 ± 2.31 μm to 23.57 ± 2.31 μm due to particle deformation. The micrograph shows that the SiC particles are equally dispersed in the AA6351 matrix, avoiding densification and reinforcing phase integration issues during hot extrusion. In hot extrusion, SiC particles are evenly distributed in the matrix, free of pores, and have strong metallurgical bonds, resulting in a homogenous composite microstructure. SiC powders and mechanical milling increase microhardness and compressive strength, giving MMC-A 54.9% greater than AA6351
Saiyathibrahim, A.Murali Krishnan, R.Jatti, Vinaykumar S.Jatti, Ashwini V.Jatti, Savita V.Praveenkumar, V.Balaji, K.
This specification covers the engineering requirements for laser beam machining, such as cutting and drilling
AMS B Finishes Processes and Fluids Committee
Many performance sport passenger vehicles use drilled or grooved cast iron brake rotors for a better braking performance or a cosmetic reason. Such brake rotors would unfortunately cause more brake dust emission, appearing with dirty wheel rims. To better understand the effects of such brake rotors on particle emission, a pin-on-disc tribometer with two particle emission measurement devices was used to monitor and collect the emitted airborne particles. The first device was an aerodynamic particle sizer, which is capable of measuring particles ranging from 0.5 to 20 μm. The second device was a condensation particle counter, which measures and collects particles from 4 nm to 3 μm. The testing samples were scaled-down brake discs (100 mm in diameter) against low-metallic brake pads. Two machined surface conditions (plain and grooved) with uncoated or ceramic-coated friction surfaces were selected for the investigation. The results showed that the grooved friction surface led to a higher
Cai, RanNie, XueyuanLyu, YezheWahlstrom, Jens
Have you ever gazed at the vastness of the stars and wondered what else your CNC machine can create? Greg Green had the opportunity to find out when he joined the staff at the Canada-France-Hawaii Telescope (CFHT) in Waimea, Hawaii
This research explores the experimental analysis of titanium alloy using an innovative approach involving a 2–7% carbon nanotube (CNT)-infused cubic boron nitride (CBN) grinding wheel. Employing a full-factorial design, the study systematically investigates the interactions among varied wheel speed, workpiece feed rate, and depth of cut, revealing compelling insights. The integration of CNTs in the CBN grinding wheel enhances the machining performance of titanium alloy, known for its high strength and challenging machinability. The experiment varies CNT infusion levels to assess their impact on material removal rate (MRR) and surface finish. Significantly, MRR is influenced by CNT content, with 5% and above demonstrating optimal performance. The 7% CNT-CBN wheel exhibits a remarkable 61% improvement in MRR over the conventional CBN wheel. Interaction studies highlight the pivotal role of depth of cut, indicating that slower speeds and feeds, combined with increased depth of cut
Stephen, Deborah SerenadeSethuramalingam, Prabhu
In the face of the world’s population growth and ensuing demands, the industrial sector assumes a crucial role in the management of limited energy supplies. Superalloys based on nickel, which are well-known for their remarkable mechanical qualities and resilience to corrosion, are now essential in vital applications like rocket engines, gas turbines, and aviation. However, these metals’ toughness presents a number of difficulties during machining operations, especially with regard to power consumption. This abstract explores the variables that affect power consumption during the machining of superalloys based on nickel in great detail and suggests ways to improve energy efficiency in this area. The effects of important variables on power consumption are extensively investigated, including cutting speed, feed rate, depth of cut, tool geometry, and cooling/lubrication techniques. A careful balance between these factors is necessary to maximize machining efficiency and reduce power usage
Başaran, AlperÖzer, MahmutKazan, Hakan
This recommended practice provides recommendations for minimizing high temperature oxidation (HTO) during the heat treatment of aluminum alloy products and parts. HTO leads to deterioration of properties
AMS D Nonferrous Alloys Committee
The axle, or differential, flange is understood to be a large source of vehicle driveline imbalance, or unbalance, through defining the center of rotation of a driveshaft. The tolerances and methods of manufacturing and assembly are therefore very important. The aim of the current investigation, is to understand and quantify the imbalance contributions from flange radial and axial runout, along with location error between the driveshaft and axle flange. An overview of the measured radial and axial runouts from a population of 100 axle assemblies is presented, including correlation of the imbalance amplitude distributions to some standard probability density functions. It was found from the investigation, that it is important to understand the nature of any source of runout, relative to any subassembly/component-level balancing, in modeling the transfer function from runout to imbalance loading. Methods for calculating the imbalance of an assembled driveline are presented, which include
Leslie, Andrew C.Liew, AndrewBaddeley, VivDent, SolomonMeehan, Paul A.
To learn about the use of digital twins for machining operations in industry, I interviewed Gisbert Ledvon, VP of Marketing at HEIDENHAIN Corporation, Schaumburg, Illinois
This research looks into how abrasive water jet machining (AWJM) can be used on carbon fiber-reinforced polymer (CFRP) materials, specifically how the kerf characteristics change with respect to change in process parameters. We carefully looked into four important process parameters: stand-off distance (SOD), water pressure (WP), traverse rate (TR), and abrasive mass flow rate (AMFR). The results showed that as SOD goes up, the kerf taper angle goes up because of jet dispersion, but as WP goes up, the angle goes down because jet kinetic energy goes up. The TR was directly related to the kerf taper angle, but it made the process less stable. The kerf drop angle was not greatly changed by AMFR. When it came to kerf top width, SOD made it wider, WP made it narrower, TR made it narrower, and AMFR made it a little wider. When the settings (SOD: 1 mm, WP: 210 MPa, TR: 150 mm/min, AMFR: 200 g/min) were optimized, the kerf taper angle and kerf top width were lowered. This improved the accuracy
Chandgude, AbhimanyuBarve, Shivprakash B.
Medical component manufacturing must meet stringent regulations for quality and product consistency, making process control a critical issue with materials, machining, assembly and packaging. This is vitally important with fluid dispensing applications used in the assembly of medical devices, point-of-care testing and near-patient testing products, medical wearables and other life sciences applications, which require accurate and consistent deposition of fluid amounts of UV-cure adhesives, silicones and other fluids in their manufacture
The machining process is employed to transform a workpiece into a predefined geometry with the assistance of a cutting tool. Throughout this process, the cutting tool undergoes various adverse effects, including deformation, stress, thermal gradient, and more, all of which impact tool sharpness, surface finish, and tool life. These outcomes are also influenced by cutting parameters, specifically cutting speed, feed rate, and depth of cut. The present investigation aims to demonstrate the application of ANSYS analysis software in predicting stress, deformation, thermal gradient, and other factors on the tool insert tip for various machining parameters. To achieve this, an experimental setup was arranged to collect cutting force and temperature data using a dynamometer and thermocouples during the machining process of maraging steel with a tungsten carbide tool insert. Experiments were conducted with different combinations of machining parameters using design of experiments (DoE). The
Balasubramanian, K.Jeyakumar, R.Rajendran, C.Kandavalli, Sumanth Ratna
In the 1990s and early 2000s, the field of parallel kinematics was viewed as being potentially transformational in manufacturing, having multiple potential advantages over conventional serial machine tools and robots. Many prototypes were developed, and some reached commercial production and implementation in areas such as hard material machining and particularly in aerospace manufacturing and assembly. There is some activity limited to niche and specialist applications; however, the technology never quite achieved the market penetration and success envisaged. Yet, many of the inherent advantages still exist in terms of stiffness, force capability, and flexibility when compared to more conventional machine structures. This chapter will attempt to identify why parallel kinematic machines (PKMs) have not lived up to the original excitement and market interest and what needs to be done to rekindle that interest. In support of this, a number of key questions and issues have been identified
Muelaner, JodyWebb, Philip
In recent years, the use of cutting fluids has become crucial in hard metal machining. Traditional non-biodegradable cutting fluids have long dominated various industries for machining. This research presents an innovative approach by suggesting a sustainable alternative: a cutting fluid made from a blend of glycerol (GOL) and distilled water (DW). We conducted a thorough investigation, creating 11 different GOL and DW mixtures in 10% weight increments. These mixtures were rigorously tested through 176 experiments with varying loads and rotational speeds. Using Design-Expert software (DES), we identified the optimal composition to be 70% GOL and 30% DW, with the lowest coefficient of friction (CFN). Building on this promising fluid, we explored further improvements by adding three nanoscale additives: Nano-graphite (GHT), zinc oxide (ZnO), and reduced graphene oxide (RGRO) at different weight percentages (0.06%, 0.08%, 0.1%, and 0.3%). Comparative tests using a four-ball wear tester
Ganesh, S.Sethuramalingam, Prabhu
Metal cutting/machining is a widely used manufacturing process for producing high-precision parts at a low cost and with high throughput. In the automotive industry, engine components such as cylinder heads or engine blocks are all manufactured using such processes. Despite its cost benefits, manufacturers often face the problem of machining chips and cutting oil residue remaining on the finished surface or falling into the internal cavities after machining operations, and these wastes can be very difficult to clean. While part cleaning/washing equipment suppliers often claim that their washers have superior performance, determining the washing efficiency is challenging without means to visualize the water flow. In this paper, a virtual engineering methodology using particle-based CFD is developed to address the issue of metal chip cleanliness resulting from engine component machining operations. This methodology comprises two simulation methods. The first is the virtual chip test
Jan, JamesKhorran, AaronHall, MarkTorcellini, SabrinaDoody, David
The Electroimpact Automatic Fan Cowl Riveter exhibits new and unique design features and automated process capabilities that address and overcome three primary technical challenges. The first challenge is satisfying the customer-driven requirement to access the entire fastening area of the fan cowl doors. This necessitates a unique machine design which is capable of fitting ‘inside’ a fan cowl door radius. The second challenge is determining drill geometry and drill process parameters which can produce consistent and high-quality countersunk holes in varying mixed-metal stack-up combinations consisting of aluminum, titanium, and stainless steel. The third challenge is providing the capability of fully automatic wet installation of hollow-ended titanium rivets. This requires an IML-side countersinking operation, depositing sealant throughout the OML and IML countersinks and the hole, automatically feeding and inserting a rivet which is only 5mm long and 6mm in head diameter and flaring
Merluzzi, JamesSchultz, RichErnsdorff, BryanPeterman, RandyLuker, ZacharyStansbury, ErinMurakonda, Sai Krishna
In numerous industries such as aerospace and energy, components must perform under significant extreme environments. This imposes stringent requirements on the accuracy with which these components are manufactured and assembled. One such example is the positional tolerance of drilled holes for close clearance applications, as seen in the “EN3201:2008 Aerospace Series – Holes for metric fasteners” standard. In such applications, the drilled holes must be accurate to within ±0.1 mm. Traditionally, this required the use of Computerised Numerical Control (CNC) systems to achieve such tight tolerances. However, with the increasing popularity of robotic arms in machining applications, as well as their relatively lower cost compared to CNC systems, it becomes necessary to assess the ability of robotic arms to achieve such tolerances. This review paper discusses the sources of errors in robotic arm drilling and reviews the current techniques for improving its accuracy. The main sources of
Cho, Yun HangSawyer, DanielaBurkinshaw, ChristopherScraggs, Chris
Robotic arms are widely known to fall short in achieving the tolerances required when it comes to the metal machining industry, especially for the aerospace sector. Broadly speaking, two of the main reasons for that are a lack of stiffness and a lack of accuracy. Robotic arm manufacturers have responded to the lack of stiffness challenge by producing bigger robots, capable of holding high payloads (e.g., Fanuc M-2000iA/2300) or symmetric robots (e.g., ABB IRB6660). Previous research proved that depending on the application and the material being machined, lack of stiffness will still be an issue, even for structurally bigger robotic arms, due to their serial nature. The accuracy issue has been addressed to a certain extent by using secondary encoders on the robotic arm joints. The encoder enhanced robotic arm solutions tend to be expensive and prior knowledge proves that there are still limitations when it comes to achieved accuracy. The current work aims to provide a performance
Sawyer, DanielaScraggs, Chris
This paper reports the development of an operation support system for production equipment using image processing with deep learning. Semi-automatic riveters are used to attach small parts to skin panels, and they involve manual positioning followed by automated drilling and fastening. The operator watches a monitor showing the processing area, and two types of failure may arise because of human error. First, the operator should locate the correct position on the skin panel by looking at markers painted thereon but may mistakenly cause the equipment to drill at an incorrect position. Second, the operator should prevent the equipment from fastening if they see chips around a hole after drilling but may overlook the chips; chips remaining around a drilled hole may cause the fastener to be inserted into the hole and fastened at an angle, which can result in the whole panel having to be scrapped. To prevent these operational errors that increase production costs by requiring repair work
Yamanouchi, ShihoAoki, NaofumiNagano, YoyaMoritake, DaichiSakata, TatsuhikoKato, Kunihito
This specification covers a corrosion- and heat-resistant steel in the form of bars, wire, forgings, and forging stock
AMS F Corrosion and Heat Resistant Alloys Committee
Aluminium alloys enrolled their applications in automobile sectors, agricultural equipment, machine tools and aerospace because of their weight-to-strength ratio. Aluminium alloy 7075-T651 is an inevitable material used in engineering sectors. Turning is a metal removal process, to obtain net geometrical aspects and better surface finish of the products. The machinability of the turning operation is based on different factors; however, turning factors and material of tool plays a significant position in the turning process. To identify the truthful cutting parameters to achieve multi-responses in turning operation, the experiment was designed via Response Surface Methodology (RSM) Central Composite Design (CCD) and the experimental results are analyzed under the desirability approach. By trialing 26 interpretations in the desirability approach; the optimal cutting parameter settings of speed 800 rpm, feed rate 0.140315 mm/rev and depth of cut 0.3501 mm have been revealed to enhance
Sundarrajan, D.Senthil Kumaar, J. S.Muthiah, A.Manikandan, A.Sivakumar, N. S.
Inconel 718 is a nickel-rich superalloy that can function in cryogenic to high-temperature applications. It has excellent mechanical and corrosion-resistant properties. This research focuses on developing Cu and Cu–alloy–tungsten disulfide (WS2) tools developed through a stir casting route, and the machining behaviour of Inconel 718 alloy in the EDM Process is investigated. The influence of output responses of Removal rate of material (RRM), surface roughness (SR), and tool wear loss rate (TWR) on input constraints pulse time-on, peak discharge current, and type of tool. The optimal parameters are studied with the aid of the Response Surface Methodology (RSM) and Analysis of Variance (ANOVA) combination, in response to maximize and decrease the RRM, TWR, and SR, respectively. It is found that using the Cu-WS2 tool provides an optimum finding with a peak discharge current of 18 Amps, and pulse on time of 8 μs yields the best value for RRM, TWR, and SR. In addition, a three-dimensional
Dinesh, D.Sangaravadivel, P.Jeevith, R.Kishore, M.Deepith, N.Srikanth, M.
The limitations of commonly used materials such as steel in withstanding high temperatures led to exploring alternative alloys. For instance, Inconel 825 is a nickel-based alloy known for its exceptional corrosion resistance. Thus, the Inconel 825 is used in various applications, including aerospace, marine propulsion, and missiles. Though it has many advantages, machining this alloy at high temperatures could be challenging due to its inadequate heat conductivity, increased strain hardening propensity, and extreme dynamic shear strength. The resultant hardened chips generated during high-speed machining exhibit elevated temperatures, leading to tool wear and surface damage, extending into the subsurface. This work investigated the influence of varying process settings on the machinability of Inconel 825 metal, using both uncoated and coated tools. Optimal surface roughness (Ra) machining conditions were found by considering factors such as depth of cut, cutting speed, feed rate, and
Balakrishnan, S.Natrayan, M.Senthilkumar, K.Rajkumar, V.
The quality of the finished product depends on the contribution of many factors along with the complex process involved to move forward towards the new product development. Many operations like turning, drilling, milling in metal machining deserves the quality as a predominant measurement. The tool and work piece plays a vital role in machining process which depends on machining parameters such as spindle speed, feed rate, depth of cut, approach angle. In the present work the turning operation was carried out on Nickel alloy (Nimonic 80) as a work piece and the carbide insert was used as a tool for performing the machining operations. The cutting parameters were optimized using Taguchi based grey relational analysis. Provided that, the ANOVA analysis to find the predominant factors that affects the quality were also determined. The experimental results were compared with the predicted results and found to be a promising agreement between the factors and responses
Jashwanth, S.Rajaparthiban, J.Ganesamoorthy, R.Balaji, N.Padmavathi, K.R.
Sustainable manufacturing, a term that has been used in the recent past on numerous occasions. A primary reason for it being in limelight, is that it does not cause any damage to the environment and also to the personal involved. Additionally, another important parameter of concern is the energy consumed during the machining process. One major reason for higher energy consumption is because of the presence of tool vibration. There have been several attempts made to reduce vibration and though they have been proved to be effective, they could be not classified under sustainable manufacturing. When used as a semi-active damper in metal cutting, magnetorheological fluid (MRF) has proven to be successful in vibration suppression. MRF is an intelligent non-Newtonian fluid that can change its viscosity instantly when a magnetic field is applied to it. They've utilised it as a damper in a number of areas because of this quality and its toughness. One significant drawback is the settling of
Ajay Vasanth, X.Sam Paul, P.Lawrance, G.Rajkumar, V.Senthilkumar, K.
In the domain of Additive Manufacturing (AM), Fused Filament Fabrication (FFF) hath flourished as a promising method for crafting complex geometric parts with a commendable degree of dimensional precision. The perception of recycling metal scrap particles obtained from machining operations unbound the scope of developing sustainable layered polymer composites with integral properties of metal particles. In this context, the present work is intended to investigate the tensile properties of Polylactic Acid (PLA), strengthened with fine particles of bronze scrap particles as reinforcement fabricated by FFF-based additive manufacturing technique. The composite specimens are manufactured as per ASTM standard with different combinations of build orientation, infill pattern, and no. of reinforcement layers. The orientation angles of 00, 300, and 600 are used for building the composite specimens with honeycomb, rectilinear, and grid infill patterns. 1, 2 and 3 layers of reinforcement stacking
SANGARAVADIVEL, P.DINESH, D.Babu, N.Dhinesh, S.K.
Austempered ductile iron (ADI) is an alternative to hardened steel for machined parts with high hardness, ductility, strength and fatigue strength. The optimal cutting parameters to perform turning operation on ADI with PCBN insert are predicted through the response surface methodology (RSM) approach. Design Expert Software was used to design fifteen experiment trials by changing cutting parameters including speed (N) rpm, feed (f) mm/min, and depth of cut (d) mm. The outcomes of the experiments were then examined. The mathematical model determined in the Analysis of Variance (ANOVA) satisfied output responses concerning the input parameters. The optimal turning parameters, N: 1039.11 rpm, f: .5 mm/min and d: 0.0974 mm is revealed the both responses. The confirmation experiment results revealed that the predicted value of responses is better in agreement with experimented responses. The optimal turning parameters recommended to industries application to machine the ADI with significant
Velusamy, K.Senthilkumar, K.M.Selvan, T.A.Viswanathan, A.
Metal matrix composite processing allows the possibility of improving both mechanical and damping properties by selecting reinforcements which have high damping characteristics, hardness and strength. In this work, the effect of disperse SiC as passive agents on the dynamic properties such as damping ratio, loss factor and effect of damping factor on Al7075/Al2O3/SiC composite machinability was studied. The composite samples were fabricated as Al7075/5%Al2O3, Al7075/5%Al2O3/5%SiC, Al7075/5%Al2O3/10%SiC and Al7075/5%Al2O3/15%SiC as well subsequently experimented. The dynamic properties were found using free vibration test approach and the hysteresis loop method. Further, the machinability in end milling operation was accessed by experimentation with the surface finish as the parameter under scrutiny. The composite Al7075/5%Al2O3/5%SiC has better damping ratio comparing to others, also the composite with the best damping capacity produces a fine surface finish during machining. Due to
Rajeswari, B.Manikandan, C.Soundararajan, R.Amirthagadeswaran, K.S.
Aluminum alloys are employed in agricultural equipment, aerospace sectors, medical instruments, machinery, automobiles, etc. due to their physical and mechanical characteristics. The geometrical shape and size of the parts are modified in turning operation by using a single-point cutting tool. A356 aluminum alloy is widely used in various engineering sectors, hence there is a necessity to produce A-356 components with quality. The inappropriate cutting parameters used in turning operation entail high production costs and reduce tool life. Box–Behnken design (BBD) based on response surface methodology (RSM) was used to design the experiments such that the experiment trials were conducted by varying cutting parameters like N-spindle speed (rpm), f-feed rate (mm/rev), and d-depth of cut (mm). The multi-objective responses, such as surface roughness (SR) and metal removal rate (MRR) were analyzed with the desirability method. The analysis of variance (ANOVA) represents the significant
Arunbharathi, R.Arish, R.Girith Chandru, S.Bhavandharshan, K.Gowthamprasath, A. D.Hari, K.
In this work the design and development of a device that shortens the engagement distance of the gearbox for the Volkswagen MQ200 gearbox was developed specifically for the VW UP! TSi. This project was initially developed in CAD 3D and after that, all the necessary parts were produced in a machining laboratory in the university campus. All the respective stress analysis were made with the FEA solver of the Autodesk Inventor software as well as all the machining processes. After de development of the parts and manufacture of the prototype, its effectiveness was verified in a test car during seven days which shown that the prototype had a compliance to all the calculation done prior to its production
Sutecas, Luiz Henriquede Engenharia Mackenzie, Victor Alessandro Notarnicola
Nickel-based superalloys are most commonly engaged in a numerous engineering use, including the making of food processing equipment, aerospace components, and chemical processing equipment. These materials are often regarded as difficult-to-machine materials in conventional machining approach due to their higher strength and thermal conductivity. Various methods for more effective machining of hard materials such as nickel-based superalloys have been developed. Wire electrical discharge machining is one of them. In this paper, an effect has been taken to develop an adaptive neuro-fuzzy inference system for predicting WEDM performance in the future. To analyse the model’s variable input, the paper employs the Taguchi’s design and analysis techniques. The evolved ANFIS model aims to simulate the process’s various characteristics and predicted values. A comparison of the two was then made, and it was discovered that the predicted values are much closer to the actual outcomes. The
Pasupuleti, ThejasreeNatarajan, ManikandanShanmugam, LoganayaganKiruthika, JothiRamesh Naik, MudeKotapati, Gowthami
The 3D printing technology is an Additive Manufacturing process which is capable of producing the complex shapes. At present there is no other technologies integrating the 3D printing and the CNC machine, thus we adapting a new design of 3D printing setup for CNC machine with some special feature as extruder, it is based on the Fusion Deposition Modelling (FDM) process with the help of the parts like Extruder, Heat Bed, Arduino boards where we are going to design a head of the printer which is to be attached with the BT40 commonly used Tool holder for the CNC milling machines. This extruder plays a vital role in this CNC milling machine for producing 3D printed components of different material and different colour. And this setup is capable of printing high resolution and complex shapes with different material and different colour by means of the heated filament. The post processing process like milling and surface finish can also be done by the CNC Machine. This setup is cost
Deepan Kumar, SadhasivamS, BalakrishnanSaminathan, SathiskumarArun Raj, VDhayaneethi, SivajiE, SoundrapandianVeath Prakash, B
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