NUMERICAL MODELING-BASED STUDY OF THE CUTTING SPEED INFLUENCE ON THE TEMPERATURE AND FORCE CONDITION IN THE MACHINED AREA

Tool materials used in ultramicrotomy are glass, developed by Latta and Hartmann (1) and diamond, introduced by Fernandez-Moran (2). While diamonds produce more good sections per knife edge than glass, they are expensive; require careful mounting and handling; and are time consuming to clean before and after usage, purchase from vendors (3-6 months waiting time), and regrind. Glass offers an easily accessible, inexpensive material ($0.04 per knife) with very high compressive strength (3) that can be employed in microtomy of metals (4) as well as biological materials. When the orthogonal machining process is being studied, glass offers additional advantages. Sections of metal or plastic can be dried down on the rake face, coated with Au-Pd, and examined directly in the SEM with no additional handling (5). Figure 1 shows aluminum chips microtomed with a 75° glass knife at a cutting speed of 1 mm/sec with a depth of cut of 1000 Å lying on the rake face of the knife.

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Effects of Vibration on the Preparation of Ultrathin Sections

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010007223x ◽

1973 ◽

Vol 31 ◽

pp. 358-359

Author(s):

Joseph M. Blum ◽

Edward P. Gargiulo ◽

J. R. Sawers

Keyword(s):

Cutting Speed ◽

Ground Level ◽

Environmental Vibration ◽

Block Face ◽

Ultrathin Sections ◽

Embedding Medium ◽

Thickness Variations ◽

Building Walls ◽

Cutting Direction ◽

Diamond Knife

It is now well-known that chatter (Figure 1) is caused by vibration between the microtome arm and the diamond knife. It is usually observed as a cyclical variation in “optical” density of an electron micrograph due to sample thickness variations perpendicular to the cutting direction. This vibration might be induced by using too large a block face, too large a clearance angle, excessive cutting speed, non-uniform embedding medium or microtome vibration. Another prominent cause is environmental vibration caused by inadequate building construction. Microtomes should be installed on firm, solid floors. The best floors are thick, ground-level concrete pads poured over a sand bed and isolated from the building walls. Even when these precautions are followed, we recommend an additional isolation pad placed on the top of a sturdy table.

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Prediction of LPCVD silicon film microstructure from local operating conditions using numerical modeling

Journal de Physique IV (Proceedings) ◽

10.1051/jp4:1999822 ◽

1999 ◽

Vol 09 (PR8) ◽

pp. Pr8-181-Pr8-188 ◽

Cited By ~ 1

Author(s):

A. Dollet ◽

B. Caussat ◽

J. P. Couderc

Keyword(s):

Numerical Modeling ◽

Silicon Film ◽

Operating Conditions ◽

Film Microstructure

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Investigation of Morphosedimentary Processes on a Schematic Louisiana Barrier Island Using Process-Based Numerical Modeling

Coastal Sediments '07 ◽

10.1061/40926(239)51 ◽

2007 ◽

Author(s):

T. Campbell ◽

B. de Sonneville ◽

L. Benedet ◽

D. J. W. Walstra ◽

C. W. Finkl

Keyword(s):

Numerical Modeling ◽

Barrier Island

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Numerical Modeling of Hurricane-Induced Extreme Wave Heights in Pensacola Bay

Coastal Hazards ◽

10.1061/9780784412664.007 ◽

2013 ◽

Author(s):

Wenrui Huang ◽

Yuan He ◽

Shuguang Liu

Keyword(s):

Numerical Modeling ◽

Extreme Wave ◽

Wave Heights

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SIMULATION OF ELECTRICAL MONITORING OF DAMS WITH LEAKAGE WITH A TRANSVERSE PLACEMENT OF THE MEASURING INSTALLATION

Eurasian Journal of Mathematical and Computer Applications ◽

10.32523/2306-6172-2020-8-4-69-82 ◽

2020 ◽

Vol 8 (4) ◽

pp. 69-82

Author(s):

D.S. Rakisheva ◽

◽

B.G. Mukanova ◽

I.N. Modin ◽

◽

...

Keyword(s):

Numerical Modeling ◽

Water Level ◽

Electrical Resistivity Tomography ◽

Resistivity Tomography ◽

Measuring Installation ◽

Basic Functions ◽

Tomography Method ◽

Dam Monitoring ◽

The Mathematical Model ◽

Measurement Line

Numerical modeling of the problem of dam monitoring by the Electrical Resistivity Tomography method is carried out. The mathematical model is based on integral equations with a partial Fourier transform with respect to one spatial variable. It is assumed that the measurement line is located across the dam longitude. To approximate the shape of the dam surface, the Radial Basic Functions method is applied. The influence of locations of the water-dam, dam-basement, basement-leakage boundaries with respect to the sounding installation, which is partially placed under the headwater, is studied. Numerical modeling is carried out for the following varied parameters: 1) water level at the headwater; 2) the height of the leak; 3) the depth of the leak; 4) position of the supply electrode; 5) water level and leaks positions are changing simultaneously. Modeling results are presented in the form of apparent resistivity curves, as it is customary in geophysical practice.

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Effects of Process Parameters on Surface Roughness and MRR in the hard turning of EN 36 steel

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset11841126 ◽

2018 ◽

pp. 102-110

Author(s):

Amritpal Singh ◽

Rakesh Kumar

Keyword(s):

Surface Roughness ◽

Material Removal Rate ◽

Material Removal ◽

Hard Turning ◽

Control Parameter ◽

Removal Rate ◽

Cutting Speed ◽

Depth Of Cut ◽

Cutting Condition ◽

Dry Cutting

In the present study, Experimental investigation of the effects of various cutting parameters on the response parameters in the hard turning of EN36 steel under the dry cutting condition is done. The input control parameters selected for the present work was the cutting speed, feed and depth of cut. The objective of the present work is to minimize the surface roughness to obtain better surface finish and maximization of material removal rate for better productivity. The design of experiments was done with the help of Taguchi L9 orthogonal array. Analysis of variance (ANOVA) was used to find out the significance of the input parameters on the response parameters. Percentage contribution for each control parameter was calculated using ANOVA with 95 % confidence value. From results, it was observed that feed is the most significant factor for surface roughness and the depth of cut is the most significant control parameter for Material removal rate.

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