Browse Topic: Nonconventional machining processes
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
The use of planetary gearboxes in heavy-duty industries is dominant due to their compact size, large transmission ratio and torque delivery capability with different configurations. Due to their harsh operating conditions, localised gear tooth faults such as cracking and chipping are more common in such gearboxes. Furthermore, localised gear tooth failure initiates distributed gear faults such as pitting and wear on the gear tooth. Therefore, it is necessary to monitor such localised gear faults continuously and detect them at an early stage to prevent sudden and catastrophic failure. In this study, gear tooth localised defects on various gear elements of the planetary gearbox are seeded using Electrical Discharge Machine (EDM). Then the vibration signals from the gearbox are captured. Afterwards, a decision tree algorithm selects the most prominent statistical features from many extracted features. Further, to automate the fault detection process, the k-nearest neighbours (k-NN
The numerous applications and desirable attributes of Monel 400 urge many researchers to undertake multiple systematic evaluation studies for diverse manufacturing operations. Because of their exceptional mechanical qualities and great corrosion resistance, nickel-based alloys, particularly Monel 400, are increasing in popularity in a variety of applications. Because of their tendency for rapid work hardening and low thermal conductivity, these materials are particularly difficult to machine using traditional manufacturing techniques. Advanced material removal methodologies have been applied to eliminate such drawbacks and are regarded as a suitable alternative approach to traditional machining processes. Based on the Electrical Discharge Machining technique, Wire Electrical Discharge Machining was developed, which a sophisticated machining technology is used to machine hard materials with complex forms in any electrically conducting materials. The machinability performance of Monel
Stainless Steel 304 (SS304) is a nickel–chromium–based alloy that is regularly used in valves, refrigeration components, evaporators, and cryogenic containers due to its greater corrosion resistance, high ductility, and non-magnetic properties, as well as good weldability and formability. Multiple regression analysis was used to establish empirical relationships between process variables. Additionally, the established regression equations are employed to predict and compare experimental data. Due to the increasing demands for high-quality surface finishes and complex geometries, traditional methods are being replaced by non-conventional techniques such as wire EDM. This process, which emerged from the electrical discharge machining concept, mainly involves creating intricate components. WEDM results in a high degree of precision and excellent surface quality. Due to the complexity of WEDM, the processing parameters cannot be selected by using the trial-and-error method. The various
California-based 3DEO unveiled in February its new metal 3D printing platform and patented technology, Saffron. The proprietary platform has been in development for the past five years. “Until now, we have revealed very little about our patented technology, and for good reason - we felt we had a tiger by the tail and wanted to gain as much advantage as possible,” said Matt Sand, 3DEO's co-founder and president. Using a hybrid additive manufacturing (AM) process that leverages binder jetting and CNC machining, the next-generation printer achieves superior results in terms of surface finish, material properties and dimensional accuracy, Sand said. The build area is 81 sq. in. (523 sq. cm), covered by eight spindles operating at 60,000 rpm with micron-level positional accuracy. Depending on part geometry or print speed required, the printer can automatically vary layer thickness anywhere from 50 to 500 microns
The impact of Laser Beam Machining (LBM) process parameters on Surface Roughness (SR) and kerf width during machining is investigated in this work. Stainless Steel is a material that is resistant to corrosion. LBM is a nontraditional machining method in which material is removed by melting and vaporizing metal when a laser beam collides with the metal surface. There are numerous process variables that influence the quality of the LBM-cut machined surface. However, the most essential factors are laser power, cutting speed, assist gas pressure, nozzle distance, focus length, pulse frequency, and pulse width. SR, Material Removal Rate (MRR), and kerf width and heat affected zone are significant performance indicators in LBM. The influence of LBM process parameters on SR and kerf width while machining stainless steel material is investigated in this study. Experiments are carried out using the L27 orthogonal array by varying laser power, cutting speed, and assisting gas pressure for
During aircraft wing assembly, machined fiberglass shims are often used between mating parts to compensate for inherent geometric variability due to manufacturing. At present, fiberglass shims for large aerospace structures, such as shims attached to wing ribs, are manufactured either manually or by precision machining, both of which pose a challenge due to tight tolerance requirements and wide geometric variations in the aircraft structures. Relative to articulated arm industrial robots, gantry-style computer numerical control (CNC) machines are costly, consume large footprints, and are inflexible in the application. Therefore, industrial robots are viewed as potential candidates to replace these gantry systems to facilitate metrology, shim machining, and permanent joining of aircraft structure, with all these processes taking place in the assembly process step. However, the accuracy of articulated arm robots is limited by errors in kinematic calibration, gear backlash, joint
Aluminum Metal Matrix Composite (AMMC) materials have loftier individualities and are known as an alternative material for a range of aerospace and automotive engineering applications. Reinforcement inclusion makes the components tougher, resulting in low performance of machining by traditional conservative machining practices. The present study presents a detailed review of the machinability of AMMC (Pure Aluminum + Graphene nanoplatelets) using Wire Electric Discharge Machining (WEDM). For WEDM of AMMC, a multi-objective optimization method is proposed to evaluate possible machining parameters in order to achieve better machining efficiency. Taguchi’s approach to the design of experiments is used to organize the experiments. For performing experiments, an L27 orthogonal array was selected. Five input process variables were considered for this study. The Grey Relational Analysis (GRA) is used to achieve the best features of multi-performance machining. The experimental results show
Stellite is a nickel based superalloy and expansively adopted in higher temperature engineering applications. This alloy possesses better mechanical properties such as strength and hardness. Due to its lesser thermal conductivity, it is difficult to machine by conventional methods of machining. For avoiding such kind of demerits, advanced methods of machining have been introduced. Wire Electrical Discharge Machining (WEDM) is one of category of thermal energy based machining methods which is developed from the concept of Electrical Discharge Machining. This kind of machining method is preliminarily engaged for making complex shaped components especially in harder and electrically conductive materials. In this present experimental study, an endeavour has been taken to analyse the optimized process parameters for achieving better machining performance during WEDM of Stellite using Taguchi-Grey approach. The experimental runs are planned by Taguchi design approach and also the combination
AA 2014 is a copper based aluminium alloy which is having exceptional mechanical characteristics such as better strength, ductility and lesser fatigue. AA 2014 is most generally employed in various engineering applications such as fabrication of structural components, defence applications and manufacturing of aerospace components. Also, this material possess better resistant to corrosion which makes this material best suitable for numerous engineering applications. Unconventional methods of machining have been evolved for producing intricate shapes in electrically conductive components. Wire Electrical Discharge Machining (WEDM) is one among the unconventional machining method which is used for making intricate shape on any electrically conductive work material. In this work, an experimentation has been carried out on WEDM of AA 2014 alloy, employing Taguchi’s technique. The experimental runs have been conducted by taking into account, the process variables such as pulse-on-time, pulse
SS304 (Stainless Steel 304) is a nickel- chromium based alloy, that is extensively used for the applications like cryogenic vessels, valves, refrigerator equipment and evaporators because of its high corrosion resistance, ductility and ability to remain as solid up to a temperature of 14000 C. SS304 is one of the tough to machine materials by conventional methods of machining. Wire Electrical Discharge Machining (WEDM) facilitates the ease of machining complicated cuts with hard to machine, conductive materials where high surface finish is required. In this investigation, a study has been done on WEDM of SS304 and mainly to optimize the process parameters during the machining of SS304 by using Taguchi’s analysis. Taguchi’s DoE approach is used to plan the experimental runs and by considering the process parameters such as pulse on time, pulse off time and peak current at three different levels the experiments were conducted. The performance measures considered in present analysis are
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