scholarly journals Development of temperature statistical model when machining of aerospace alloy materials

2014 ◽  
Vol 18 (suppl.1) ◽  
pp. 269-282 ◽  
Author(s):  
Kumaran Kadirgama ◽  
Md. Rahman ◽  
Basir Mohamed ◽  
Rosli Bakar ◽  
Ahmad Ismail
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Feed Rate ◽  
Cutting Tools ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Maximum Temperature ◽  
Element Analysis ◽  
First Order ◽  
Axial Depth

This paper presents to develop first-order models for predicting the cutting temperature for end-milling operation of Hastelloy C-22HS by using four different coated carbide cutting tools and two different cutting environments. The first-order equations of cutting temperature are developed using the response surface methodology (RSM). The cutting variables are cutting speed, feed rate, and axial depth. The analyses are carried out with the aid of the statistical software package. It can be seen that the model is suitable to predict the longitudinal component of the cutting temperature close to those readings recorded experimentally with a 95% confident level. The results obtained from the predictive models are also compared with results obtained from finite-element analysis (FEA). The developed first-order equations for the cutting temperature revealed that the feed rate is the most crucial factor, followed by axial depth and cutting speed. The PVD coated cutting tools perform better than the CVD-coated cutting tools in terms of cutting temperature. The cutting tools coated with TiAlN perform better compared with other cutting tools during the machining performance of Hastelloy C-22HS. It followed by TiN/TiCN/TiN and CVD coated with TiN/TiCN/Al2O3 and TiN/TiCN/TiN. From the finite-element analysis, the distribution of the cutting temperature can be discussed. High temperature appears in the lower sliding friction zone and at the cutting tip of the cutting tool. Maximum temperature is developed at the rake face some distance away from the tool nose, however, before the chip lift away.

scholarly journals Finite element analysis and modeling of temperature distribution in turning of titanium alloys

10.30544/323 ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 59-69 ◽  
Author(s):  
Moola Mohan Reddy ◽  
Mohan Kumar ◽  
Kumaraesan Shanmugam
Keyword(s):  
Finite Element ◽  
Temperature Distribution ◽  
Titanium Alloys ◽  
Cutting Force ◽  
Feed Rate ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Surface Model ◽  
Element Analysis

The titanium alloys (Ti-6Al-4V) have been widely used in aerospace, and medical applications and the demand is ever-growing due to its outstanding properties. In this paper, the finite element modeling on machinability of Ti-6Al-4V using cubic boron nitride and polycrystalline diamond tool in dry turning environment was investigated. This research was carried out to generate mathematical models at 95% confidence level for cutting force and temperature distribution regarding cutting speed, feed rate and depth of cut. The Box-Behnken design of experiment was used as Response Surface Model to generate combinations of cutting variables for modeling. Then, finite element simulation was performed using AdvantEdge®. The influence of each cutting parameters on the cutting responses was investigated using Analysis of Variance. The analysis shows that depth of cut is the most influential parameter on resultant cutting force whereas feed rate is the most influential parameter on cutting temperature. Also, the effect of the cutting-edge radius was investigated for both tools. This research would help to maximize the tool life and to improve surface finish.

Simulations and Experiment Analysis of a Piezoelectric Micropump

2012 ◽  
Vol 229-231 ◽  
pp. 1688-1692 ◽  
Author(s):  
Yan Fang Guan ◽  
Ming Gang Shen ◽  
Li Li Han
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Flow Rate ◽  
Piezoelectric Transducer ◽  
Working Condition ◽  
Coupling Analysis ◽  
Element Analysis ◽  
Deep Reactive Ion Etching ◽  
First Order ◽  
Experiment Analysis

The application of micropump in microanalytical reagent is widely. In this paper a piezoelectric micropump model that looks like a sandwitch has been put forward. The main structures of the micropump include inlet and outlet pipe, silicon substrate pump body, piezoelectric transducer. In order to find the excellent driving performance, the modals and piezoelectric-stress coupling analysis of the piezoelectric transducer has been carried out with finite element analysis methods. The result proves that the optimal working condition of the micropump is the 1st mode. Finally the micropump model has been fabricated with silicon deep reactive ion etching and UV irreversible irradiation. Through experiment the flow rate and pressure of the micropump reach the maximum in first-order modal that is less than 1000 Hz, and this is accord with the modal analysis.

Study on Thermal Placement Optimization of Embedded MCM

2011 ◽  
Vol 189-193 ◽  
pp. 2269-2273
Author(s):  
Chun Yue Huang ◽  
Tian Ming Li ◽  
Ying Liang ◽  
He Geng Wei
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Temperature Field ◽  
Field Distribution ◽  
Temperature Difference ◽  
Optimization Algorithm ◽  
Thermal Field ◽  
Maximum Temperature ◽  
Element Analysis ◽  
Placement Optimization

In the thermal design of embedded multi-chip module (MCM), the placement of chips has a significant effect on temperature field distributing, thus influences the reliability of the embedded MCM. The thermal placement optimization of chips in embedded MCM was studied in this paper, the goal of this work is to decrease temperature and achieve uniform thermal field distribution within embedded MCM. By using ANSYS the finite element analysis model of embedded MCM was developed, the temperature field distributing was calculated. Based on genetic algorithms, chips placement optimization algorithm of embedded MCM was proposed and the optimization chips placement of embedded MCM was achieved by corresponding optimization program. To demonstrate the effectiveness of the obtained optimization chips placement, finite element analysis (FEA) was carried out to assess the thermal field distribution of the optimization chips placement in embedded MCM by using ANSYS. The result shows that without chips placement optimizing the maximum temperature and temperature difference in embedded MCM model are 87.963°C and 2.189°C respectively, by using chips placement optimization algorithm the maximum temperature drop than the original 0.583°C and the temperature difference is only 0.694°C . It turns out that the chip placement optimization approach proposed in this work can be effective in providing thermal optimal design of chip placement in embedded MCM.

Structural Acoustic Problems With Absorbent Layers Within Laminated Composite Enclosures

2006 ◽  
Vol 128 (6) ◽  
pp. 705-712 ◽  
Author(s):  
Arup Guha Niyogi
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Free Vibration ◽  
Laminated Composite ◽  
Transverse Shear Deformation ◽  
Element Formulation ◽  
Structural Damping ◽  
Element Analysis ◽  
First Order ◽  
Acoustic Domain

Studies on coupled structural acoustic problems within laminated composite enclosures are presented. Isoparametric quadratic boundary element formulation for the acoustic domain is coupled to the structural properties of the enclosure through mobility relations obtained from free vibration finite element analysis of the dry enclosure visualized as a folded plate with first order transverse shear deformation and rotary inertia. Velocity amplitudes and forcing frequency is specified over certain parts of the boundary. The rest is interactive boundary. Absorbent layers at the boundary are accommodated through admittance relation. Results show that impact of absorbent layers is frequency dependent while modifying structural damping has a better prospect.

Optimization of Axial Rake Angle for Face Milling Using Taguchi Method and Finite Element Analysis

2013 ◽  
Vol 465-466 ◽  
pp. 746-750 ◽  
Author(s):  
Mohd Riduan Ibrahim ◽  
A.R. Abd. Kadir ◽  
M.S. Omar ◽  
M.H. Osman ◽  
S. Sulaiman ◽  
...  
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Optimal Parameter ◽  
Signal To Noise Ratio ◽  
Cutting Speed ◽  
Rake Angle ◽  
Milling Process ◽  
Face Milling ◽  
Element Analysis ◽  
Confirmation Test

This study employed the Taguchi approach in combination with finite element analysis (DEFORM3D) to investigate face milling process onto AL6061. The factors studied in this investigation were cutting speed, feed rate, and axial rake angle. The simulation of flank wear was generated according to Usuis wear model though the L9(34) of the orthogonal array experiment. ANOVA analysis and F test were conducted to find the significant factor that contributes to tool wear in the signal to noise ratio. Finally, the confirmation test has been carried out at optimal parameter.

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