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Using Taguchi grey relational analysis to optimize the dimensional parameters of a Coercivity detection probe
The dimensions and number of turns per coercivity detection probe coil can strongly affect measurement accuracy. To address this problem, Maxwell...
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Optimizing the printing parameters for dimensional accuracy of distal femur bone by using Taguchi’s method
BackgroundFused deposition modelling (FDM) is a popular additive manufacturing technique with capability of producing complex and integrate shapes....
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Influence of process parameters on the occurrence of defects and dimensional properties of green part produced by material extrusion of highly filled polymer
Material extrusion (MEX) 3D printing of highly filled polymer has demonstrated great capabilities for prototy** or rapid manufacturing of metallic...
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Dimensional parameters and non-dimensional numbers in micro-plasma arc welding of SS 316L sheets
Stainless steel SS 316L alloy is the most preferred material in the vehicle manufacturing industry on account of superior structural attributes even...
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Dimensional deviations in Ti-6Al-4V discs produced with different process parameters during selective laser melting
When manufacturing complicated products where both material and design play a role, especially thin and curved components, it is difficult to...
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Numerical investigation and process parameters optimization in three-dimensional multi-stage hot forging for minimizing flash and equivalent strain
Multi-stage hot forging is widely used to produce complex forged products in inFdustry. Flash after the forging should always be minimized for the...
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On the parameters identification of three-dimensional aging-temperature-dependent viscoelastic solids through a Bayesian approach
Temperature and physical aging effects on the three-dimensional behaviors, such as shear and bulk properties, of viscoelastic solids are critical for...
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Analytical Prediction of Three Dimensional Chatter Stability Considering Multiple Parameters in Milling
Chatter has been playing an important role in the stability and quality assurance of milling processes. To effectively predict the stability of...
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Investigation on the effect of laser parameters and hatch patterns on the dimensional accuracy of micro-dimple and micro-channel texture geometries
This study investigates the design, simulation and fabrication of micro-dimple and micro-channel texture geometries and the effect of laser...
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A computationally efficient algorithm to estimate the parameters of a two-dimensional chirp model with the product term
Chirp signal models and their generalizations have been used to model many natural and man-made phenomena in signal processing and time series...
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Estimation of parameters of two-dimensional random amplitude chirp signal in additive noise
In this paper, we consider a two-dimensional random amplitude chirp signal model. It is assumed that the additive error is independent and...
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Effects of process parameters and geometry on dimensional accuracy and surface quality of thin strut heart valve frames manufactured by laser powder bed fusion
Laser powder bed fusion (LPBF) is one of the most popular metal additive manufacturing technologies, which has found its applications in high-value...
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Dimensional and Model Analysis
Dimensional analysis is a mathematical technique that helps us to set up the empirical relation about a fluid flow or several engineering problems....
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A Comprehensive Investigation of Process Parameters and Material Properties Effects on Printed Line Quality of Aerosol Jet Printing Based on Coupled Three-dimensional Numerical Models
A three-dimensional numerical model formulated by coupling the computational fluid dynamics model and discrete phase model (DPM) was developed to...
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One-Dimensional Model for Calculation of Flow Parameters in a Supersonic Air Intake
AbstractThis paper contains the physical-mathematical and computational models of the flow in the air intake. The air flow is modeled as a mixture of...
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Micro modeling and mutli-response optimization of ECM parameters by dimensional analysis and TOPSIS
EN38 steel is mostly utilized in ships, airplane, guided missile, weapons, railway, bridges and corrosion-resisting applications. Nevertheless, low...
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Regression Prediction of Performance Parameters in Ship Propulsion Equipment Simulation Model Based on One-Dimensional Convolutional Neural Network
Deep learning methods such as the one using Convolutional Neural Network (CNN) have made remarkable achievements in computer vision and natural...
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A Methodology for Optimizing Impact Strength, Dimensional Accuracy and Costs of Manufacturing with Three-Dimensional Printing of Polylactic Acid
Among all technologies applied in three-dimensional printing (3DP), fused deposition modeling (FDM) is the most develo** one because it is capable...
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Beyond the 2-Dimensional Bases
There is an essential difference between cellular c-e structures outspread over multi-dimensional and one-dimensional bases (location spaces). In...
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Investigation of the influence of process parameters on dimensional accuracy and post-sintering crack formation in ceramic 3D printing for porcelain-based commercial resins
Several commercial ceramic resins are nowadays available in the market of Additive Manufacturing, making more approachable ceramic stereolithography...
