DEVELOPMENT OF ARM MICROCONTROLLER BASED CONTROLLER FOR INDUSTRIAL PROCESS PARAMETERS

2020 ◽  
Vol 8 (2) ◽  
pp. 16
Author(s):  
A. POTE SHWETA ◽  
S. WAGH PRANALI ◽  
K. PISE TEJASWI ◽  
S. K. TILEKAR ◽  
◽  
...  
Keyword(s):  
Process Parameters ◽  
Industrial Process

High-Pressure Die-Casting Process Modelling Using Neural Networks

2006 ◽  
pp. 182-198 ◽  
Author(s):  
M. Imad Khan ◽  
Saeid Nahavandi ◽  
Yakov Frayman
Keyword(s):  
High Pressure ◽  
Process Parameters ◽  
Current Knowledge ◽  
Die Casting ◽  
Process Condition ◽  
Industrial Process ◽  
Casting Process ◽  
High Pressure Die Casting ◽  
Die Casting Process ◽  
Pressure Die Casting

This chapter presents the application of a neural network to the industrial process modeling of high-pressure die casting (HPDC). The large number of inter- and intradependent process parameters makes it difficult to obtain an accurate physical model of the HPDC process that is paramount to understanding the effects of process parameters on casting defects such as porosity. The first stage of the work was to obtain an accurate model of the die-casting process using a feed-forward multilayer perceptron (MLP) from the process condition monitoring data. The second stage of the work was to find out the effect of different process parameters on the level of porosity in castings by performing sensitivity analysis. The results obtained are in agreement with the current knowledge of the effects of different process parameters on porosity defects, demonstrating the ability of the MLP to model the die-casting process accurately.

Feasibility of Motion-Capture Techniques Applied to Tube Bending

2015 ◽  
Vol 651-653 ◽  
pp. 1128-1133 ◽  
Author(s):  
Enrico Simonetto ◽  
Andrea Ghiotti ◽  
Stefania Bruschi
Keyword(s):  
Motion Capture ◽  
Process Parameters ◽  
Industrial Process ◽  
Measurement Unit ◽  
Main Process ◽  
Tube Bending ◽  
New Production ◽  
Experimental Apparatus ◽  
Set Up ◽  
Capture Techniques

Tube bending is one of the most relevant manufacturing processes for the production of structural elements, but it suffers from the problem of springback that requires the tuning of the process parameters at every launch of new production batches. Off-line optimization approaches can be found in literature, but they often require complex characterization of the material properties or the application of approaches based on numerical simulation analyses. So, the development of new and more flexible on-line approaches to measure and correct the springback is crucial especially for highly automated machines as for example the tube benders. The paper presents a new measurement approach, based on the application of motion-capture techniques, to provide real-time measurements of the bent tube orientation, in order to decrease the time for the set-up of the main process parameters. A new methodology as well as a new experimental apparatus for the in-line monitoring of the tube springback is presented, as well as the evaluation of its accuracy when applied to the industrial process. An Inertial Measurement Unit (IMU) is linked to the tube during bending and the measurements from three gyroscopes and three accelerometers are used to perform the computation of the tube orientation in the 3D space. The proposed approach appeared promising for the evaluation of the springback through the measurement of the final angular configuration reached after bending.

scholarly journals Statistical Modeling of Industrial Process Parameters

Procedia CIRP ◽  
2015 ◽  
Vol 33 ◽  
pp. 203-208 ◽  
Author(s):  
Francesco Aggogeri ◽  
Giulio Barbato ◽  
Gianfranco Genta ◽  
Raffaello Levi
Keyword(s):  
Statistical Modeling ◽  
Process Parameters ◽  
Industrial Process

Modeling Difficult-to-Measure Process Parameters Based on Intrinsic Mode Functions Frequency Spectral Features of Mechanical Vibration and Acoustical Signals

2014 ◽  
Vol 989-994 ◽  
pp. 3671-3674 ◽  
Author(s):  
Jian Tang ◽  
Zhuo Liu ◽  
Yong Jian Wu ◽  
Li Jie Zhao
Keyword(s):  
Process Parameters ◽  
Mechanical Vibration ◽  
Feature Selection Method ◽  
Industrial Process ◽  
Ensemble Empirical Mode Decomposition ◽  
Spectral Features ◽  
Intrinsic Mode Functions ◽  
Multi Scale ◽  
Mechanical Devices ◽  
Acoustical Signals

Heavy mechanical devices of complex industrial process produce soundly mechanical vibration and acoustical signals. Some difficult-to-measure key process parameters have direct relationship with these signals. A newly ensemble empirical mode decomposition (EEMD), Fast Fourier Transform (FFT), Mutual information (MI), and Kernel partial least squares (KPLS) based modeling approach is proposed to measure these process parameters. At first, different scale intrinsic mode functions (IMFs) of mechanical vibration and acoustical signals are obtained using EEMD technology. Then, FFT transforms these multi-scale IMFs into frequency domain, and MI based feature selection method selects interesting frequency spectral features. Finally, KPLS constructs the final soft sensor models using the selected features. Experimental results based on vibration and acoustical signals of ball mill demonstrate this approach is more effective than other exist multi-scale decomposition based methods.

Short Films from a Small Nation

2018 ◽  
Author(s):  
C. Claire Thomson
Keyword(s):  
Public Information ◽  
Industrial Process ◽  
Actor Network Theory ◽  
Documentary Films ◽  
Wide Range ◽  
Short Films ◽  
Post War ◽  
The 1960S ◽  
Art And Architecture

The first book-length study in English of a national corpus of state-sponsored informational film, this book traces how Danish shorts on topics including social welfare, industry, art and architecture were commissioned, funded, produced and reviewed from the inter-war period to the 1960s. For three decades, state-sponsored short filmmaking educated Danish citizens, promoted Denmark to the world, and shaped the careers of renowned directors like Carl Th. Dreyer. Examining the life cycle of a representative selection of films, and discussing their preservation and mediation in the digital age, this book presents a detailed case study of how informational cinema is shaped by, and indeed shapes, its cultural, political and technological contexts.The book combines close textual analysis of a broad range of films with detailed accounts of their commissioning, production, distribution and reception in Denmark and abroad, drawing on Actor-Network Theory to emphasise the role of a wide range of entities in these processes. It considers a broad range of genres and sub-genres, including industrial process films, public information films, art films, the city symphony, the essay film, and many more. It also maps international networks of informational and documentary films in the post-war period, and explores the role of informational film in Danish cultural and political history.

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