Modulating Hardness in Sc2(Ru5-xTMx)B4 through Empirical Considerations and Computational Analysis

2022 ◽  
Author(s):  
Jacob Hickey ◽  
Jakoah Brgoch
Keyword(s):  
Computational Analysis ◽  
Higher Order ◽  
Experimental Investigations ◽  
Hard Materials

Ternary and higher-order borides remain an underexplored area in the search for hard materials. The difficulties associated with purely systematic experimental investigations have largely hindered the consideration of such complex...

EXPERIMENTAL INVESTIGATIONS INTO THE INFLUENCING PARAMETERS OF ELECTROCHEMICAL MACHINING OF AISI 202

2008 ◽  
Vol 07 (02) ◽  
pp. 337-343 ◽  
Author(s):  
T. SEKAR ◽  
R. MARAPPAN
Keyword(s):  
Surface Roughness ◽  
Metal Removal ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
High Energy ◽  
Experimental Investigations ◽  
Metal Removal Rate ◽  
Hard Materials ◽  
Influencing Parameters ◽  
Traditional Process

Electrochemical machining (ECM) is a non-traditional process used mainly to cut hard or difficult to cut metals, where the application of a more traditional process is not convenient. Those difficult to cut metals demand high energy to form chips, which can result in thermal effects due to the high temperatures inherent to the process in the chip–tool interface. In traditional processes, the heat generated during the cut is dissipated to the tool, chip, workpiece and environment, affecting the surface integrity of the workpiece, mainly for those hard materials. In this work, experimental investigations have been made on the various influencing parameters involved in the Metal removal rate (MRR) and Surface roughness using ECM on AISI 202 steel. The major intervening parameters are studied and the relationship between the parameters has been determined to achieve maximum metal removal rate and minimum surface roughness by using NaNO 3-Aqua solution.

Design, Development & Experimental Investigation of Electro-Discharge Diamond Surface Grinding of Ti-6Al-4V

2011 ◽  
Vol 418-420 ◽  
pp. 1478-1481 ◽  
Author(s):  
Manoj Modi ◽  
Gopal Agarwal
Keyword(s):  
Removal Rate ◽  
Surface Grinding ◽  
Machining Process ◽  
Diamond Surface ◽  
Experimental Investigations ◽  
Grinding Wheel ◽  
Hybrid Machining ◽  
Hard Materials ◽  
Hybrid Machining Process ◽  
Pulse On Time

Abstract: Ti-6Al-4V are used extensively in aerospace, medical, marine and surgical implants etc. but it is hard to machine. Machining of advanced difficult-to-machine very hard materials (Ti-6Al-4V, composites and ceramics) is a big challenge. By conventional machining processes, their machining is not only costly but results in poor surface finish and shorter tool life. To meet these challenges, new hybrid machining process (HMP) has been developed. This article is focused on hybrid machining process comprising of conventional surface grinding along with electro-discharge machining between the periphery of metal bonded diamond grinding wheel and flat rectangular shape workpiece. This process has the advantage of shaping advance engineering materials and difficult-to- machine very hard materials. The experimental investigations of various input parameters like wheel RPM, duty factor, current and pulse on-time on material removal rate of Ti-6Al-4V in EDDSG process have been reported here on newly self designed & fabricated set up. Keywords: Electro-Discharge Diamond Surface Grinding (EDDSG), Hybrid Machining Process (HMP), Ti-6Al-4V.

scholarly journals Experimental Investigations and Computational Analysis on Subsonic Wind Tunnel

2019 ◽  
Vol Volume-3 (Issue-3) ◽  
pp. 1708-1711
Author(s):  
Rishabh Kumar Sahu ◽  
Saurabh Sharma ◽  
Vivek Swaroop | Vishal Kumar ◽  
Keyword(s):  
Wind Tunnel ◽  
Computational Analysis ◽  
Experimental Investigations ◽  
Subsonic Wind Tunnel

scholarly journals Anion-π Catalysis Enabled by the Mechanical Bond

2021 ◽  
Author(s):  
John Maynard ◽  
Bartomeu Galmés ◽  
Athanasios Stergiou ◽  
Mark Symes ◽  
Antonio Frontera ◽  
...  
Keyword(s):  
Michael Addition ◽  
Computational Analysis ◽  
Experimental Investigations ◽  
Mechanical Bond ◽  
Brønsted Base

We report a series of rotaxane-based anion-π catalysts in which the mechanical bond between a bipyridine macrocycle and an axle containing an NDI unit is intrinsic to the activity observed, including a [3]rotaxane that catalyses an otherwise disfavoured Michael addition in >60 fold selectivity over a competing decarboxylation pathway that dominates under Brønsted base conditions. The results are rationalized by detailed experimental investigations, electrochemical and computational analysis.

Detection of Nonlinearities in Plates Via Higher-Order-Spectra: Numerical and Experimental Studies

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
M. Pasquali ◽  
W. Lacarbonara ◽  
P. Marzocca
Keyword(s):  
Mechanical Response ◽  
Gaussian White Noise ◽  
Experimental Studies ◽  
Laminated Composite ◽  
Composite Plates ◽  
Higher Order ◽  
Laminated Plates ◽  
Experimental Investigations ◽  
Structural Nonlinearities ◽  
Lumped Masses

Higher-order spectral (HOS) analysis tools are employed to extract the nonlinear dynamic response features of elastic and laminated plates by using both physics-based mechanical plate models and experimental data. Bispectral and trispectral densities are computed to highlight the presence and relative importance of quadratic and cubic nonlinearities. The former are associated with the presence of asymmetry either in the excitation or in the mechanical response of predeflected plates while the latter are due to midplane stretching effects. Besides the detection of these structural nonlinearities in perfect (baseline) fully clamped plates, the changes of such nonlinearities induced by the presence of small inertial imperfections (i.e., lumped masses) are identified and exploited to localize the imperfections. The numerical and experimental investigations are carried out both on isotropic and laminated composite plates subject to Gaussian white noise excitation. The effectiveness of the HOS-based procedure for detection of the nonlinearities is fully demonstrated for both types of plates.

scholarly journals The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)

2021 ◽  
Author(s):  
Roberto Martinez-Maldonado ◽  
Vanessa Echeverria ◽  
Katerina Mangaroska ◽  
Antonette Shibani ◽  
Gloria Fernandez-Nieto ◽  
...  
Keyword(s):  
Computational Analysis ◽  
Indoor Positioning ◽  
Higher Order ◽  
Classroom Teaching ◽  
Spatial Metrics ◽  
Low Level ◽  
Teacher Student ◽  
Classroom Space ◽  
Quantitative Metrics ◽  
Student Ratios

Teachers’ spatial behaviours in the classroom can strongly influence students’ engagement, motivation and other behaviours that shape their learning. However, classroom teaching behav-iour is ephemeral, and has largely remained opaque to computational analysis. This paper presents a library called ‘Moodoo’ that can serve to automatically model how teachers make use of the classroom space by analysing indoor positioning traces. The system automatically ex-tracts spatial metrics (e.g. teacher-student ratios, frequency of visits to students’ personal spaces, presence in classroom spaces of interest, index of dispersion and entropy), mapping from the teachers’ low-level positioning data to higher-order spatial constructs.

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