scholarly journals Process Prediction for Compound Screws by Using Virtual Measurement and Recognizable Performance Evaluation

2021 ◽  
Vol 11 (4) ◽  
pp. 1549
Author(s):  
Han-Jui Chang ◽  
Guang-Yi Zhang ◽  
Zhi-Ming Su ◽  
Zhong-Fa Mao
Keyword(s):  
Performance Evaluation ◽  
Process Parameters ◽  
Prediction Method ◽  
Cutting Conditions ◽  
Polymer Materials ◽  
Process Data ◽  
Crystalline Polymers ◽  
Combined Application ◽  
Virtual Metrology ◽  
Process Prediction

One of the important values of Industry 4.0 is to integrate people’s needs into the manufacture of enhanced products, systems, and services to achieve greater levels of product customization. This paper presents a prediction method for predicting screw process parameters; taking crystalline and non-crystalline polymers as the molding material, when there is a lack of sufficient historical screw process data to establish a data-driven method, using various screws and polymer materials to predict tool life under different cutting conditions is a challenge. A screw life prediction method is proposed based on the mixed compound screw process parameters method using a dynamic iteration work. To meet the requirements of mass production, this work proposes the combined application of the automatic virtual metrology (AVM) system with the recognizable performance evaluation (RPE) program. The method predicts the injection of compound screws by extracting given cutting conditions and related process parameters characteristics from the senor data by converting sampling inspections with measurement delays from real-time and online routine inspections to automatically and quickly complete method creation production goals.

Quantitative high-resolution electron microscopy (HREM) of defects in ordered polymers

1996 ◽  
Vol 54 ◽  
pp. 166-167
Author(s):  
Patricia M. Wilson ◽  
David C. Martin
Keyword(s):  
Electron Microscopy ◽  
Electron Beam ◽  
High Resolution ◽  
Liquid Crystalline ◽  
High Resolution Electron Microscopy ◽  
Polymer Materials ◽  
Scattered Electron ◽  
Crystalline Polymers ◽  
Resolution Electron ◽  
Beam Damage

Efforts in our laboratory and elsewhere have established the utility of low dose high resolution electron microscopy (HREM) for imaging the microstructure of crystalline and liquid crystalline polymers. In a number of polymer systems, direct imaging of the lattice spacings by HREM has provided information about the size, shape, and relative orientation of ordered domains in these materials. However, because of the extent of disorder typical in many polymer microstructures, and because of the sensitivity of most polymer materials to electron beam damage, there have been few studies where the contrast observed in HREM images has been analyzed in a quantitative fashion.Here, we discuss two instances where quantitative information about HREM images has been used to provide new insight about the organization of crystalline polymers in the solid-state. In the first, we study the distortion of the polymer lattice planes near the core of an edge dislocation and compare these results to theories of dislocations in anisotropic and liquid crystalline solids. In the second, we investigate the variations in HREM contrast near the edge of wedge-shaped samples. The polymer used in this study was the diacetylene DCHD, which is stable to electron beam damage (Jc = 20 C/cm2) and highly crystalline. The instrument used in this work was a JEOL 4000 EX HRTEM with a beam blanidng device. More recently, the 4000 EX has been installed with instrumentation for dynamically recording scattered electron beam currents.

2000 Macromolecular Science and Engineering Award LectureThe versatility of azobenzene polymers

2001 ◽  
Vol 79 (7) ◽  
pp. 1093-1100 ◽  
Author(s):  
Almeria Natansohn ◽  
Paul Rochon
Keyword(s):  
Liquid Crystalline ◽  
Surface Deformation ◽  
Polymer Structure ◽  
Light Polarization ◽  
Polymer Materials ◽  
Science And Engineering ◽  
Crystalline Polymers ◽  
The Third ◽  
Macroscopic Motion ◽  
Azobenzene Groups

The well-known trans–cis–trans photoisomerization of azobenzenes produces at least three different kinds of motion in the polymer materials to which the azobenzenes are bound. The first is a photoinduced motion of the azobenzene groups only, and they can align in a selected position with respect to the light polarization. The second is a macroscopic motion of huge amounts of polymeric material, producing surface deformation, and the third is a reorganization of smectic domains in liquid crystalline polymers. These motions and their consequences are briefly discussed in relation to the polymer structure and some possible photonic applications are mentioned.Key words: photoinduced orientation, azobenzene polymers, surface gratings, photonics, thermochromism, photochromism, photorefractivity, photoinduced chirality and switching.

Ensemble Methods for APS In-Flight Particle Temperature and Velocity Prediction Considering Torch Electrodes Ageing

2021 ◽  
Author(s):  
K.R. Yu ◽  
C.V. Cojocaru ◽  
F. Ilinca ◽  
E. Irissou
Keyword(s):  
Powder Particle ◽  
Process Parameters ◽  
Particle Temperature ◽  
Ensemble Methods ◽  
Machine Learning Algorithms ◽  
Atmospheric Plasma ◽  
Gradient Boosting ◽  
Input Process ◽  
Process Data ◽  
Particle Characteristics

Abstract In an atmospheric plasma spray (APS) process; in-flight powder particle characteristics; such as the particle velocity and temperature; have significant influence on the coating formation. The nonlinear relationship between the input process parameters and in-flight particle characteristics is thus of paramount importance for coating properties design and quality control. It is also known that the ageing of torch electrodes affects this relationship. In recent years; machine learning algorithms have proven to be able to take into account such complex nonlinear interactions. This work illustrates the application of ensemble methods based on decision tree algorithms to evaluate and to predict in-flight particle temperature and velocity during an APS process considering torch electrodes ageing. Experiments were performed to record simultaneously the input process parameters; the in-flight powder particle characteristics and the electrodes usage time. Various spray durations were considered to emulate industrial coating spray production settings. Random forest and gradient boosting algorithms were used to rank and select the features for the APS process data recorded as the electrodes aged and the corresponding predictive models were compared. The time series aspect of the data will be examined.

Experimental Evaluation of Glob-top Materials for use in Harsh Environments

2005 ◽  
Vol 2 (4) ◽  
pp. 253-268 ◽  
Author(s):  
Mats Lindgren ◽  
Ilja Belov ◽  
Peter Leisner
Keyword(s):  
Process Parameters ◽  
Experimental Evaluation ◽  
Experimental Results ◽  
Polymer Materials ◽  
Harsh Environments ◽  
Automotive Applications ◽  
Critical Material ◽  
Material Evaluation

This article presents results of experimental evaluation of glob-top materials for multi-chip-modules (MCM) in harsh environments. Material and process tests have been performed with the purpose to find a material which would fulfill the reliability requirements for use e.g. in military or automotive applications. Seven polymer materials, i.e. four epoxies, two silicones and one polyurethane material have been selected and evaluated in the experiments. The most critical material and process parameters for glob-top have been identified and measured. Based on the experimental results, application-based scoring of studied epoxy materials has been performed. Material evaluation results have been summarized in conclusions about the most suitable glob-top material for use in harsh environments.

Analysis on surface modification of orthodontic power chain by nanoimprinting process

2014 ◽  
Vol 34 (3) ◽  
pp. 209-217
Author(s):  
Hsing-Chung Cheng ◽  
Wan-Tin Lin ◽  
Yung-Kang Shen ◽  
Yen-Hsiang Wang
Keyword(s):  
Contact Angle ◽  
Surface Modification ◽  
Surface Treatment ◽  
Water Absorption ◽  
Process Parameters ◽  
Pure Aluminum ◽  
Polymer Materials ◽  
Hydrophobic Properties ◽  
Water Absorbance

Abstract The traditional orthodontic power chain, usually made of polymer materials, exists some drawbacks, such as the reduction of elasticity due to swell after absorbing water and surface discoloration resulting from the patient’s diet, food, or beverage colors leading to poor appearance. The main purpose of this study was to develop surface modification on orthodontic power chain and to realize the properties change for improvement of its shortcomings. In this study, a template was produced by pure aluminum piece with anodized production (concave) through the nanoimprinting process fabricating nanostructures (convex) on the surface of power chain, resulting in surface modification of power chain. The different nanoimprinting process parameters (e.g., imprinting temperature, imprinting pressure, imprinting time, and demolding temperature) were used to produce nanostructures on the surface of power chain. The results of this study show that the contact angle of the power chain became larger after nanoimprinting surface treatment. The hydrophilic properties of power chain have been turned into hydrophobic properties. Unmodified power chain before water absorption is about 4%, while a modified water absorbance is about 2%–4%.

Burr Size Minimization When Drilling 6061-T6 Aluminum Alloy

2012 ◽  
Author(s):  
Y. Zedan ◽  
S. A. Niknam ◽  
A. Djebara ◽  
V. Songmene
Keyword(s):  
Process Parameters ◽  
Cutting Speed ◽  
Cutting Conditions ◽  
Cutting Fluid ◽  
Burr Formation ◽  
Formation Mechanisms ◽  
Regression Equations ◽  
Taguchi Optimization ◽  
Burr Height ◽  
Burr Size

The burr formation mechanisms strongly depend on the machining methods as well as cutting conditions. Cutting fluids play significant roles in machining, including reduction of friction and temperature. Using a cutting fluid, however, degrades the quality of the environment and increases machining costs. In the present work, initially the effects of cutting fluid application (dry, mist and flood) and their interaction with cutting parameters on the burr size during drilling of 6061-T6 aluminum alloys were investigated using multi-level full factorial design. Second-order non-linear mathematical models were developed to predict burr height for various lubrication modes. The accuracy of the regression equations formulated to predict burr height when using different lubrication modes has been verified through carrying out random experiments in the range of variation of these variables. A procedure was developed to minimize burr size for drilling holes by presenting the optimal levels of process parameters. Taguchi optimization method based on L9 orthogonal array design of experiment was then used which has shown very accurate process parameters selection that leads to minimum burr height. According to experimental study, it was observed that dry and mist drilling can produce parts with quality comparable with those obtained in wet drilling when using the optimal cutting conditions. In addition, increase in cutting speed and feed rate exhibits a decrease in burr size.

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