A First-Order Five-Variable Cutting-Tool Temperature Equation and Chip Equivalent

1964 ◽  
Vol 86 (4) ◽  
pp. 395-400 ◽  
Author(s):  
S. M. Wu ◽  
R. N. Meyer
Keyword(s):  
Cutting Tool ◽  
Fractional Factorial Design ◽  
Cutting Speed ◽  
Physical Property ◽  
Fractional Factorial ◽  
Tool Temperature ◽  
Testing Conditions ◽  
First Order ◽  
Confirmatory Tests ◽  
Temperature Equation

A simple first-order five-variable cutting-tool temperature predicting equation is developed by a 25−1 fractional factorial design. Only 16 testing conditions are used in the experiment. Confirmatory tests indicate the adequacy of the first-order predicting equation. These tests also tend to confirm the physical property of chip equivalent whereby the same temperature is obtained for a constant chip equivalent at a given cutting speed.

Cutting-Tool Temperature-Predicting Equation by Response-Surface Methodology

1964 ◽  
Vol 86 (2) ◽  
pp. 150-156 ◽  
Author(s):  
S. M. Wu ◽  
R. N. Meyer
Keyword(s):  
Response Surface Methodology ◽  
High Temperature ◽  
Response Surface ◽  
Cutting Tool ◽  
Depth Of Cut ◽  
Order Model ◽  
Tool Temperature ◽  
High Temperature Range ◽  
First Order ◽  
Confirmatory Tests

Empirical general cutting-tool temperature-predicting equations in terms of speed, feed, and depth of cut are developed by response-surface methodology. The practicability of the first-order model has been shown by confirmatory tests. The importance of the second-order model, particularly at a high-temperature range, is also discussed.

Optimization of Machining Parameters for CNC Turning of Different Materials

2014 ◽  
Vol 592-594 ◽  
pp. 605-609
Author(s):  
Surendra Kumar Saini ◽  
Sharad Kumar Pradhan
Keyword(s):  
Feed Rate ◽  
316L Stainless Steel ◽  
Cutting Tool ◽  
Fractional Factorial Design ◽  
Spindle Speed ◽  
Fractional Factorial ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Turning Process ◽  
Cnc Turning

Abstract. This paper proposes an experimental investigation of the most influencing machining parameters like spindle speed, feed rate and depth of cut on CNC turning of three metals viz. 316L Stainless steel, EN24 alloy steel and Ti 6 Al 4V alloy. Fractional factorial design with orthogonal array [L9 (33)] is employed for the optimization of these turning process parameters. All experiments were carried out using EMCO CNC 250 Turn machine with carbide cutting tool. The comparison revealed that feed rate and depth of cut are the most significant turning factors on surface roughness followed by spindle speed for these three metals.

Optimization of PES Nanocomposite Membrane Preparation Using Statistical Analysis and Experimental Design

2019 ◽  
Author(s):  
Yasin Orooji ◽  
Fatemeh Noorisafa ◽  
Nahid Imami ◽  
Amir R. Chaharmahali
Keyword(s):  
Statistical Analysis ◽  
Experimental Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Nanocomposite Membrane ◽  
Membrane Preparation ◽  
Membrane Fabrication

<p>Using experimental design and statistical analysis (½ Fractional Factorial Design), this study investigates the effect of different parameters in the membrane fabrication on the performance of nanocomposite PES/TiO<sub>2</sub> membrane. </p>

scholarly journals Fabrication of a Silicide Thermoelectric Module Employing Fractional Factorial Design Principles

2021 ◽  
Author(s):  
Joachim S. Graff ◽  
Raphael Schuler ◽  
Xin Song ◽  
Gustavo Castillo-Hernandez ◽  
Gunstein Skomedal ◽  
...  
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Waste Heat ◽  
Thermoelectric Module ◽  
Fractional Factorial ◽  
Taguchi Methods ◽  
Dimensional Parameter ◽  
Cu Metallization ◽  
Manganese Silicide ◽  
And Performance

AbstractThermoelectric modules can be used in waste heat harvesting, sensing, and cooling applications. Here, we report on the fabrication and performance of a four-leg module based on abundant silicide materials. While previously optimized Mg2Si0.3Sn0.675Bi0.025 is used as the n-type leg, we employ a fractional factorial design based on the Taguchi methods mapping out a four-dimensional parameter space among Mnx-εMoεSi1.75−δGeδ higher manganese silicide compositions for the p-type material. The module is assembled using a scalable fabrication process, using a Cu metallization layer and a Pb-based soldering paste. The maximum power output density of 53 μW cm–2 is achieved at a hot-side temperature of 250 °C and a temperature difference of 100 °C. This low thermoelectric output is related to the high contact resistance between the thermoelectric materials and the metallic contacts, underlining the importance of improved metallization schemes for thermoelectric module assembly.

Experimental investigation of a slip-line field model for a worn cutting tool

2013 ◽  
Vol 228 (8) ◽  
pp. 1398-1404 ◽  
Author(s):  
Alper Uysal ◽  
Erhan Altan
Keyword(s):  
Wear Rate ◽  
Slip Line ◽  
Field Model ◽  
Cutting Tool ◽  
Flank Wear ◽  
Cutting Speed ◽  
Chip Thickness ◽  
Rake Angle ◽  
Uncut Chip Thickness ◽  
Line Field

In this study, the slip-line field model developed for orthogonal machining with a worn cutting tool was experimentally investigated. Minimum and maximum values of five slip-line angles ( θ1, θ2, δ2, η and ψ) were calculated. The friction forces that were caused by flank wear land, chip up-curl radii and chip thicknesses were calculated by solving the model. It was specified that the friction force increased with increase in flank wear rate and uncut chip thickness and it decreased a little with increase in cutting speed and rake angle. The chip up-curl radius increased with increase in flank wear rate and it decreased with increase in uncut chip thickness. The chip thickness increased with increase in flank wear rate and uncut chip thickness. Besides, the chip thickness increased with increase in rake angle and it decreased with increase in cutting speed.

scholarly journals Producing Magnetic Nanocomposites from Paper Sludge for the Adsorptive Removal of Pharmaceuticals from Water—A Fractional Factorial Design

Nanomaterials ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 287
Author(s):  
Luciana S. Rocha ◽  
Érika M. L. Sousa ◽  
María V. Gil ◽  
João A. B. P. Oliveira ◽  
Marta Otero ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Metal Oxide Nanoparticles ◽  
Aqueous Media ◽  
Fractional Factorial ◽  
Paper Sludge ◽  
Synthesis Conditions ◽  
Adsorptive Removal ◽  
Iron Salts

In view of a simple after-use separation, the potentiality of producing magnetic activated carbon (MAC) by intercalation of ferromagnetic metal oxide nanoparticles in the framework of a powder activated carbon (PAC) produced from primary paper sludge was explored in this work. The synthesis conditions to produce cost effective and efficient MACs for the adsorptive removal of pharmaceuticals (amoxicillin, carbamazepine, and diclofenac) from aqueous media were evaluated. For this purpose, a fractional factorial design (FFD) was applied to assess the effect of the most significant variables (Fe3+ to Fe2+ salts ratio, PAC to iron salts ratio, temperature, and pH), on the following responses concerning the resulting MACs: Specific surface area (SBET), saturation magnetization (Ms), and adsorption percentage of amoxicillin, carbamazepine, and diclofenac. The statistical analysis revealed that the PAC to iron salts mass ratio was the main factor affecting the considered responses. A quadratic linear regression model A = f(SBET, Ms) was adjusted to the FFD data, allowing to differentiate four of the eighteen MACs produced. These MACs were distinguished by being easily recovered from aqueous phase using a permanent magnet (Ms of 22–27 emu g−1), and their high SBET (741–795 m2 g−1) were responsible for individual adsorption percentages ranging between 61% and 84% using small MAC doses (35 mg L−1).

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