Wheel-Tooling Gap Measurement System for Conform™ Extrusion Machinery Based on a Capacitive Sensor

2005 ◽  
Vol 127 (2) ◽  
pp. 394-401 ◽  
Author(s):  
K. Khawaja ◽  
L. Seneviratne ◽  
K. Althoefer

Conform™ extrusion is a very versatile manufacturing process enabling the production of a wide range of extruded profiles. It is critical to maintain a precise predefined wheel-tooling gap for the efficient running of the Conform extrusion process and to maintain high product quality. However, this is a challenging task due to the hostile environment, high operating temperatures, and required accuracy. An accurate high-temperature gap measurement system for Conform extrusion machinery, using a capacitive sensing system, is developed in this study. The sensor is implemented in a copper Conform extrusion machine, and experimental results are presented, providing for the first time a detailed view of Conform Extrusion gap behavior during production. It is shown that the proposed gap-sensing and control system results in a number of advantages, including reduced machine setup times, reduced flash (waste) rates, and on-line monitoring and control of gap size. The research is carried out in collaboration with Holton Machinery Ltd., a leading manufacturer of Conform Extrusion machinery.

2014 ◽  
Vol 889-890 ◽  
pp. 691-694
Author(s):  
Guo Dong Zhu ◽  
Xuan Sun ◽  
Chang Sheng Ai

For the question of surface density controlled by manual measurement in production process and low quality and inefficiency, we designed the on-line monitoring and control system based on capacitive sensor. The principle is capacitive sensor can convert the surface density variation to the capacitance variation, after operational amplifier, rectifier circuit and filter circuit we can get the voltage signal related to surface density of lithium battery pole piece. The voltage signal through the A/D input module into the PLC for data processing, according to the results we can adjust the coat blade degree real-time. This will achieve the purpose of surface density uniformity. Using this system to replace traditional methods, the lithium battery pole piece surface density can be measured in intelligent, controlled in real-time and non-contact mode with high precision. And this system can improve the quality of lithium battery and the production efficiency, also with great reliability and feasibility.


1995 ◽  
Vol 117 (3) ◽  
pp. 323-330 ◽  
Author(s):  
P. Banerjee ◽  
S. Govardhan ◽  
H. C. Wikle ◽  
J. Y. Liu ◽  
B. A. Chin

This paper describes a method for on-line weld geometry monitoring and control using a single front-side infrared sensor. Variations in plate thickness, shielding gas composition and minor element content are known to cause weld geometry changes. These changes in the weld geometry can be distinctly detected from an analysis of temperature gradients computed from infrared data. Deviations in temperature gradients were used to control the bead width and depth of penetration during the welding process. The analytical techniques described in this paper have been used to control gas tungsten arc and gas metal arc welding processes.


Author(s):  
Shuping Dang ◽  
Guoqing Ma ◽  
Basem Shihada ◽  
Mohamed-Slim Alouini

<pre>The smart building (SB), a promising solution to the fast-paced and continuous urbanization around the world, is an integration of a wide range of systems and services and involves a construction of multiple layers. The SB is capable of sensing, acquiring and processing a tremendous amount of data as well as performing proper action and adaptation accordingly. With rapid increases in the number of connected nodes and thereby the data transmission demand in SBs, conventional transmission and processing techniques are insufficient to provide satisfactory services. To enhance the intelligence of SBs and achieve efficient monitoring and control, both indoor visible light communications (VLC) and machine learning (ML) shall be applied jointly to construct a reliable data transmission network with powerful data processing and reasoning abilities. In this regard, we envision an SB framework enabled by indoor VLC and ML in this article.</pre>


Author(s):  
Achmad Faris Nasyarudin ◽  
Ritzkal Ritzkal ◽  
Arief Goeritno

 The design and construction of a device prototype for a water level measurement system in a tank and controlling a number of garden light analogies has been carried-out and the prototype can be integrated into smarthome system. Three topics are discussed in this paper, including the manufacture, programming, and performance measurement of device prototypes. The formation of prototype of the device is done through wiring integration between electronic devices, in order to obtain the hardware handshacking. Programming the prototype of device is done through the creation of algorithms and preparation of syntax, in order to obtain the software handshacking. The performance of the prototype of device is measured when integrated into the Smarthome system, in order to obtain the hardware and software handshacking. The performance of prototype of the device when monitoring in the form of information about the water level in the water tank with 3 (three) conditions, namely the criteria of "empty", "medium", and "full", while the control in the form of information about the operation of ON/OFF of the LED as an analogy to the lamp garden are done for 3 (three) positions, namely position #1, #2, and #3. The manufactured subsystem prototype can be integrated into the smarthome system when a validation test is performed. Prototype of the device for monitoring and control based-on web that can be integrated into the smarthome system.


1999 ◽  
Vol 82 (4) ◽  
pp. 991-996 ◽  
Author(s):  
Ivan Chang Yen ◽  
Isaac Bekele ◽  
Carlyle Kalloo

Abstract The twin-island state of Trinidad and Tobago produces much of the fresh fruit and vegetables consumed locally, although some are exported to Europe and North America. On average, approximately 1500 tons of pesticides are imported annually, of which about 10-15% are organophosphates. A survey of local farmers revealed that a wide range of pesticides are used and that the same pesticides are used on several crops to control different pests. Application rates exceeding manufacturers' recommendations are also common, as is the disregard of recommended preharvest intervals after pesticide application. Praedial larceny and subsequent sale of freshly sprayed crops also contribute to the risks posed to consumers by pesticide residues. A market basket survey of produce conducted between October 1996 and May 1997 in Trinidad for organophosphate pesticides showed that 10% of produce exceeded the internationally acceptable maximum residue limits (MRLs) for the respective pesticides. Celery constituted 6.5% of all such samples, with over 83% of celery samples exceeding the MRL. Organophosphate pesticides detected were methamidophos, triazophos, prophenofos, diazinon, ethion, pirimiphos methyl, malathion, and dimethoate, with the first 4 being the most commonly detected. There is an urgent need for comprehensive monitoring and control of pesticides on produce by local regulatory agencies, especially because the above data relate only to one class of pesticides. The education of farmers on safe operating practices regarding pesticide application and observation of recommended preharvest intervals for applied pesticides is also required.


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