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Recent development of electrically assisted manufacturing processes proved the advantages of using the electric current, mainly related with the decrease in the mechanical forming load, and improvement in the formability when electrically assisted forming of metals. The reduction of forming load was formulated previously assuming that a part of the electrical energy input is dissipated into heat, thus producing thermal softening of the material, while the remaining component directly aids the plastic deformation. The fraction of electrical energy applied, which assists the deformation process compared to the total amount of electrical energy, is given by the electroplastic effect coefficient.The objective of the current research is to investigate the complex effect of the electricity applied during deformation, and to establish a methodology for quantifying the electroplastic effect coefficient. Temperature behavior is observed for varying levels of deformation and previous cold work. Results are used to refine the understanding of the electroplastic effect coefficient, and a new relationship, in the form of a power law, is derived. This model is validated under independent experiments in Grade 2 (commercially pure) and Grade 5 (Ti-6Al-4V) titanium.

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Recent development of electrically-assisted manufacturing (EAM) processes proved the advantages of using the electric current, mainly related with the decrease in the mechanical forming load and improvement in the formability. Erom EAM e.xperiments, it has been determined that a portion of the applied electrical power contributes toward these forming benefits and the rest is dissipated into heat, defined as the electroplastic effect. The objective of this work is to experimentally investigate several factors that affect the electroplastic effect and the efficiency of the applied electricity. Specifically, the effects of various levels of cold work and contact force are explored on both Grade 2 and Grade 5 Titanium alloys. Thermal and mechanical data prove that these factors notably affect the efficiency of the applied electricity during an electrically-assisted forming (EAF) process.

Superalloys are a relatively new class of materials that exhibit high mechanical strength, ductility, creep resistance at high operating temperatures, high fatigue strength, and typically superior resistance to corrosion and oxidation even at elevated temperatures. These properties make superalloys ideal for applications in aircraft, cryogenic tanks, submarines, nuclear reactors, and petrochemical equipment. In the aerospace industry, the most commonly used superalloy is the nickel-base alloy and it accounts for 30–50% of the total material required in the manufacturing of the aircraft engine. It is used for rotating parts of gas turbines such as blades and disks, engine mounts, turbine casings and components for rocket motors and pumps. To make full use of nickel-base superalloys, a machining process must be developed that is capable of controlling and identifying tool wear, and identifying the onset of subsurface damage and controlling its formation during processing. To accomplish this, a model relating process characteristics and cutting parameters need to be developed. Due to high tool wear, the cutting forces increase drastically during machining, thus making impossible to estimate the forces with existing models. This research proposes an update to the specific cutting forces model taking into consideration rapid tool wear. As milling is the most common machining processes used to cut superalloys (e.g., turbine blades), it is specifically targeted by this research. Experiments were conducted under different cutting conditions to observe the cutting characteristics of nickel-base superalloys. Empirical observations were used to formulate updated coefficients. Later this model will be applied for real-time control of the process results, such as geometry, tool wear and subsurface damage, and also for estimation and control of other quantities such as force, deflection, surface quality and energy consumed. This will provide new insights into machining these advanced alloys.