Study on Fluid Process Measurement Technology

2008 ◽  
Vol 392-394 ◽  
pp. 688-692 ◽  
Author(s):  
Xu Dong Pan ◽  
Guang Lin Wang ◽  
Ze Sheng Lu ◽  
S. Zou
Keyword(s):  
Complex Shape ◽  
Measuring Method ◽  
Machining Process ◽  
Measurement Technology ◽  
Work Piece ◽  
Good Prospect ◽  
Process Measurement ◽  
Fluid Process ◽  
Process Measurements ◽  
Hydraulic Process

Process Measurement is a measuring method which is accompanied with process of the manufacture of work piece. This paper puts forward a new concept of fluid process measurement, and provides four types of fluid process measurements, which are, pressure pneumatic process measurement, flow pneumatic process measurement, pressure hydraulic process measurement, and flow hydraulic process measurement, and establishes the mathematical and physical modal for them. This paper also provides an example of the application of this measurement method. This measurement has a good prospect, because it can deal with the work pieces with high-precision, complex shape and which are hard to be measured in the machining process.

scholarly journals In-Process Measurement of Three-Dimensional Deformations Based on Speckle Photography

2021 ◽  
Vol 11 (11) ◽  
pp. 4981
Author(s):  
Andreas Tausendfreund ◽  
Dirk Stöbener ◽  
Andreas Fischer
Keyword(s):  
Evaluation Method ◽  
Process Analysis ◽  
Plane Deformation ◽  
Three Dimensional ◽  
Machining Process ◽  
Image Correlation ◽  
Speckle Photography ◽  
Process Measurement ◽  
Out Of Plane ◽  
Plane Deformations

In the concept of the process signature, the relationship between a material load and the modification remaining in the workpiece is used to better understand and optimize manufacturing processes. The basic prerequisite for this is to be able to measure the loads occurring during the machining process in the form of mechanical deformations. Speckle photography is suitable for this in-process measurement task and is already used in a variety of ways for in-plane deformation measurements. The shortcoming of this fast and robust measurement technique based on image correlation techniques is that out-of-plane deformations in the direction of the measurement system cannot be detected and increases the measurement error of in-plane deformations. In this paper, we investigate a method that infers local out-of-plane motions of the workpiece surface from the decorrelation of speckle patterns and is thus able to reconstruct three-dimensional deformation fields. The implementation of the evaluation method enables a fast reconstruction of 3D deformation fields, so that the in-process capability remains given. First measurements in a deep rolling process show that dynamic deformations underneath the die can be captured and demonstrate the suitability of the speckle method for manufacturing process analysis.

Research on Tool Wear Based on Texture Fractal Dimension

2011 ◽  
Vol 66-68 ◽  
pp. 1163-1166
Author(s):  
Mao Jun Chen ◽  
Zhong Jin Ni ◽  
Liang Fang
Keyword(s):  
Fractal Dimension ◽  
Tool Wear ◽  
Surface Texture ◽  
Manufacturing Systems ◽  
Experimental Results ◽  
Machining Process ◽  
Work Piece ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Wear Condition

In automated manufacturing systems, one of the most important issues is the detection of tool wear during the machining process. The Hausdorff-Besicovitch (HB) dimension is used to analyze the feature of the surface texture of work-piece in this paper. The value of the fractal dimension of the work-piece surface texture tends to decrease with the machining process, due to the texture becoming more complex and irregular, and the tool wear is also becoming more and more serious. That can describe the inherent relationship between work-piece surface texture and tool wear. The experimental results demonstrate the probability of using the fractal dimension of work-piece surface texture to monitor the tool wear condition.

Numerical Simulation of Cutting Force in High Speed Machining of Inconel 718

2020 ◽  
Vol 856 ◽  
pp. 43-49
Author(s):  
Santosh Kumar Tamang ◽  
Nabam Teyi ◽  
Rinchin Tashi Tsumkhapa
Keyword(s):  
Cutting Force ◽  
Inconel 718 ◽  
High Speed ◽  
Experimental Results ◽  
Machining Process ◽  
Experimental Result ◽  
Work Piece ◽  
High Speed Machining ◽  
Numerical Result ◽  
3D Software

Machining is one of the major manufacturing processes that converts a raw work piece of arbitrary size into a finished product of definite shape of predetermined size by suitably controlling the relative motion between the tool and the work. Lately, machining process is shifting towards high speed machining (HSM) from conventional machining to improve and efficiently increase production, and towards dry machining from excessive coolant used wet machining to improve economy of production. And the tools used are mostly hardened alloys to facilitate HSM. The work piece materials are continually improving their properties by emergence and development of newer and high resistive super alloys (HRSA). In this paper an attempt has been made to validate an experimental result of cutting force obtained by performing HSM on an HRSA Inconel 718, by comparing it with the numerical result obtained by simulating the same setting using DEFORM 3D software. Based on the comparison it is found that the simulated results exhibit close proximity with the experimental results validating the experimental results and the effectiveness of the software.

Performance assessment of energy efficient and eco-friendly turning of Nimonic C-263: A comparative study on MQL and cryogenic machining

2021 ◽  
pp. 095440542110619
Author(s):  
Prashant S Jadhav ◽  
Chinmaya P Mohanty
Keyword(s):  
Work Environment ◽  
Manufacturing Industry ◽  
Cutting Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Work Piece ◽  
Cryogenic Machining ◽  
Machined Surface ◽  
Machining Strategies ◽  
The Impact

Nimonic C-263 is predominantly used in the manufacturing of heat susceptible intricate components in the gas turbine, aircraft, and automotive industries. Owing to its high strength, poor thermal conductivity, the superalloy is difficult to machine and causes rapid tool wear during conventional machining mode. Moreover, the unpleasant machining noise produced during machining severely disrupts the tool engineer’s concentration, thereby denying a precise and environment friendly machining operation. Hence, close dimensional accuracy, superior machined surface quality along with production economy, and pleasant work environment for the tool engineers is the need of an hour of the current manufacturing industry. To counter such issues, the present work attempts to compare and explore the machinability of two of the most popular machining strategies like minimum quantity lubrication (MQL) and cryogenic machining process during turning of Nimonic C-263 work piece in order to achieve an ideal machining environment. The machining characteristics are compared in terms of surface roughness (SR), power consumption (P), machining noise (S), nose wear (NW), and cutting forces (CF) to evaluate the impact of machining variables like cutting speed (Vc), feed (f), and depth of cut (ap) with a detailed parametric study and technical justification. Yet again, an investigation is conducted to compare both the machining strategies in terms of qualitative responses like chip morphology, total machining cost, and carbon emissions. The study revealed that cryogenic machining strategy is adequately proficient over MQL machining to deliver energy proficient and gratifying work environment for the tool engineers by reducing the cost of machining and improving their work efficiency.

Research on Precision Grinding System and Key Technology Based on PMAC-PC

2010 ◽  
Vol 97-101 ◽  
pp. 1942-1946 ◽  
Author(s):  
Ke Zhang ◽  
Yu Hou Wu
Keyword(s):  
High Speed ◽  
Thermal Characteristics ◽  
Numerical Control ◽  
Measurement Technology ◽  
Work Piece ◽  
Force Analysis ◽  
Precision Grinding ◽  
Motorized Spindle ◽  
Key Technology ◽  
Grinding System

A high speed experimental numerical control grinding system based on PMAC-PC was designed, realized machining and measurement integration. High speed motorized spindle finite elements dynamics and thermal characteristics, force analysis of linear motor feed element and parameters setting method based on PMAC, work piece roundness error measurement technology were researched. The grinding experiment and dynamic measurement indicated that the system possessed good following performance and stability; grind the elliptic work piece in the system.

Analysis and optimisation of machinability behavior of GFRP composites using fuzzy logic

2015 ◽  
Vol 11 (1) ◽  
pp. 102-119 ◽  
Author(s):  
Jenarthanan Poornachary Mugundhu ◽  
Suresh Subramanian ◽  
Ajay Subramanian
Keyword(s):  
Fuzzy Logic ◽  
Machining Process ◽  
Depth Of Cut ◽  
Work Piece ◽  
Mechanical And Thermal Properties ◽  
Machining Parameters ◽  
End Mill ◽  
Gfrp Composites ◽  
Content Type ◽  
Useful Life

Purpose – Glass fibre reinforced plastics (GFRP) contain two phases of materials with drastically distinguished mechanical and thermal properties, which brings in complicated interactions between the matrix and the reinforcement during machining. Surface quality and dimensional precision will greatly affect parts during their useful life especially in cases where the components will be in contact with other elements or materials during their useful life. The purpose of this paper is to discuss the application of the Taguchi method with fuzzy logic to optimise the machining parameters for machining of GFRP composites with multiple characteristics. Design/methodology/approach – The machining tests were performed on a CNC milling machine using solid carbide (K10) End mill cutting tool with three different helix angles. Experiments were planned using Taguchi’s orthogonal array with the cutting conditions prefixed. Findings – The machining parameters, namely, helix angle of the end mill cutter, spindle speed, feed rate, depth of cut, and work piece fibre orientation (specially applied to the GFRP composites) were optimised with considerations of multiple response characteristics, including machining force, material removal rate, and delamination. The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process. Originality/value – Multi-response optimisation of machinability behaviour of GFRP composites using fuzzy logic has not been attempted previously.

The Micro-Milling Machining of Pyrex Glass Using the Electrochemical Discharge Machining Process

2011 ◽  
Vol 403-408 ◽  
pp. 738-742 ◽  
Author(s):  
Chang Jian Lu ◽  
An Gu ◽  
Li Meng ◽  
Sheng Yi Yang
Keyword(s):  
Machining Process ◽  
Micro Milling ◽  
Pyrex Glass ◽  
Good Prospect ◽  
Micro Machining ◽  
Affecting Factors ◽  
Conductive Materials ◽  
Electrochemical Discharge Machining ◽  
Electrochemical Discharge

The principles of ECDM and micro-milling were described in the article. The ECDM technology and micro-milling technology were combined, and a milling platform was designed, through the analysis of the affecting factors in the processing, the Pyrex glass was machined by using the electrochemical discharge micro-milling machining and the experiment results were discussed. The results showed that the electrochemical discharge milling machining had a good prospect for the micro machining of the non-conductive materials.

Electro-thermal-based finite element simulation and experimental validation of material removal in static gap single-spark die-sinking electro-discharge machining process

2016 ◽  
Vol 231 (1) ◽  
pp. 28-47 ◽  
Author(s):  
Saeed Assarzadeh ◽  
Majid Ghoreishi
Keyword(s):  
Material Removal ◽  
Thermal Flux ◽  
Machining Process ◽  
Work Piece ◽  
Discharge Time ◽  
Materials Properties ◽  
Element Simulation ◽  
Single Discharge ◽  
Plasma Radius ◽  
Set Up

Existing single spark models are subjected to too simplistic assumptions such as uniform or point heat source, constant plasma radius, invariable materials properties and constant surface temperature during discharge making them far from reality. In this study, more realistic assumptions including Gaussian type distribution of spark heat flux, temperature dependent materials properties, latent heat of melting and expanding plasma channel with pulse current and time have been made to establish a comprehensive modeling platform. The ABAQUS FEM software has been used to simulate the mechanism of crater formation due to a single discharge. The non-uniform thermal flux was programmed through the DFLUX subroutine. The simulation results show that the temperature of work piece decreases as the discharge time increases while the volume of melted and evaporated material increases. A specially designed single spark experimental set-up was developed in laboratory to carry out a few single spark tests for verification purposes. The obtained craters morphologies were examined by optical microscopy and scanning profilometer. It has been shown that the present approach outperforms other previously developed thermal models with respect to cavity outline and size possessing the maximum confirmation errors of 18.1% and 14.1% in predicting crater radius and depth, respectively. Parametric analysis reveals that the melting boundary moves onward by increasing discharge current, whereas it moves back prolonging discharge time. Finally, a closer proximity to experimental material removal rates than those predicted by analytical approach has been recognized which confirms its more precise generalization capabilities towards the real state EDM process.

Multirate Estimation for the Machining Process Under Multirate Noise

2007 ◽  
Author(s):  
Cheol W. Lee
Keyword(s):  
Machining Process ◽  
Process Variables ◽  
Process Noise ◽  
Efficient Tool ◽  
Process Measurement ◽  
Process Output ◽  
Sensor Signals ◽  
Propagation Of Errors ◽  
Inspection Data

Asynchronous measurement of process output characterizes a typical machining process in batch production. Various sensors are used for in-process measurement of process variables such as powers, forces, and vibration while the quality of parts and the tool conditions can be measured only by the postprocess inspection in most applications. The multirate scheme is being proposed as an efficient tool for integrating real-time sensor signals with postprocess inspection data for estimating immeasurable variables of the machining process. The machining process is subject to the process noise of varying frequencies including the within-cycle drift, cycle-to-cycle variation, and batch-to-batch variation. A multirate observer for simultaneous state and parameter estimation is built after the propagation of errors along a series of machining cycles is derived. Case studies with the grinding process demonstrate the efficacy of the developed algorithm.

Improvement of Die Corner Inaccuracy of Inconel 718 Alloy Using Entropy Based GRA in WEDM Process

2017 ◽  
Vol 20 ◽  
pp. 29-41 ◽  
Author(s):  
Sadananda Chakraborty ◽  
Dipankar Bose
Keyword(s):  
Inconel 718 ◽  
Cutting Parameters ◽  
Machining Process ◽  
Work Piece ◽  
Inconel 718 Alloy ◽  
Wide Range ◽  
Curve Profile ◽  
Wedm Process ◽  
Grey Relation ◽  
Selection Of

Wire Electric Discharge Machining is one of the non-traditional machining process to develop and generate many complicated shapes with very much accuracy. Improper selection of cutting parameters may result in erroneous configuration and shapes. When cutting curve profile in WEDM process, it has been found out that the magnitude of corner inaccuracy in terms of uncut area at the corner of the die is much higher than the corner inaccuracy at the corner of the punch due to the excess material removal. In this study entropy based grey relation analysis has been used to identify the optimal cutting parameter for WEDM process. ANOVA has been adopted to distinguish the most consequential factors. Inconel 718 has been used as a work-piece material which is a new advance material and it has wide range of industrial application. The characteristics of the machined surfaces of Inconel 718 alloy have also been analyzed through scanning electron microscope (SEM).

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