scholarly journals A Study on Real Time Working Path Control of Vertical Articulated Robot for Forging Process Automation in High Temperature Environments

2017 ◽  
Vol 20 (1) ◽  
pp. 34-48
Author(s):  
Sang-Young Jo ◽  
Min-Seong Kim ◽  
Ki-Hoon Do ◽  
Sung-Hyun Han ◽  
Un-Tae Ha ◽  
...  
Keyword(s):  
High Temperature ◽  
Real Time ◽  
Process Automation ◽  
Forging Process ◽  
Path Control ◽  
Articulated Robot

The Effect of Isothermal Forging Process Parameters on the Microstructure and the Properties of TA15 Near α Titanium Alloy

2007 ◽  
Vol 26-28 ◽  
pp. 367-371
Author(s):  
Hong Zhen Guo ◽  
Zhang Long Zhao ◽  
Bin Wang ◽  
Ze Kun Yao ◽  
Ying Ying Liu
Keyword(s):  
Titanium Alloy ◽  
High Temperature ◽  
Tensile Properties ◽  
Process Parameters ◽  
Spherical Shape ◽  
Deformation Degree ◽  
Isothermal Forging ◽  
Forging Process ◽  
Α Phase ◽  
Strip Shape

In this paper the effect of isothermal forging process parameters on the microstructure and the mechanical properties of TA15 titanium alloy was researched. The results of the tests indicate that, in the range of temperature of 850 °C~980 °C and deformation degree of 20%~60%, with the increase of temperature or deformation, as the reinforcement of deformation recrystallization, the primary α-phase tends to the spherical shape and secondary α-phase transforms from the acicular shape to fine and spherical shape with disperse distribution, which enhance the tensile properties at room and high temperature. With the increment of forging times, the spheroidization of primary α-phase aggrandizes and secondary α-phase transforms from spherical and acicular shape to wide strip shape, which decrease the tensile properties at room and high temperature. The preferable isothermal forging process parameters are temperature of 980 °C, deformation degree of 60%, and few forging times.

scholarly journals Mechanism of structural formation in the combustion wave of the Ni-Al system with strengthening additives

2020 ◽  
Vol 16 (2) ◽  
pp. 41-49
Author(s):  
Hong Zhi Cui ◽  
Angelica A. Grigoryevskaya ◽  
Igor P. Gulyaev
Keyword(s):  
High Temperature ◽  
Real Time ◽  
Combustion Wave ◽  
Titanium Diboride ◽  
Self Assembly ◽  
Structural Formation ◽  
Ceramic Particles ◽  
Tib2 Particles ◽  
Nial Matrix

In the work, microstructures formed in the combustion wave of the Ni-Al system with hardening additives of high-temperature ceramic particles consisting of titanium diboride and corundum were studied. Microstructures and shapes vary depending on the content of ceramic additives in the NiAl matrix. Particles of TiB2 take the most diverse elementary forms, such as bars, plates, herringbones, regular cubic structures and cuboids. These results outline a real-time strategy of self-assembly processes to create diversified microstructures. Some grains of titanium diboride 2-5 m in size are embedded in corundum clusters, and a small number of TiB2 particles are dispersed in the NiAl matrix. It is assumed that the higher the content of reinforcing additives, the more uniform the distribution of the ceramic skeleton will be present in the NiAl matrix.

Innovative Minimally Intrusive Sensor Technology Development for Versatile Affordable Advanced Turbine Engine Combustors

2002 ◽  
Author(s):  
Neil Goldstein ◽  
Carlos A. Arana ◽  
Fritz Bien ◽  
Jamine Lee ◽  
John Gruninger ◽  
...  
Keyword(s):  
High Pressure ◽  
High Temperature ◽  
Real Time ◽  
Gas Turbines ◽  
High Performance ◽  
Chemical Species ◽  
Sensor Technology ◽  
Spectral Signature ◽  
Temperature Pattern ◽  
Hot Gas

The feasibility of an innovative minimally intrusive sensor for monitoring the hot gas stream at the turbine inlet in high performance aircraft gas turbine engines was demonstrated. The sensor uses passive fiber-optical probes and a remote readout device to collect and analyze the spatially resolved spectral signature of the hot gas in the combustor/turbine flowpaths. Advanced information processing techniques are used to extract the average temperature, temperature pattern factor, and chemical composition on a sub-second time scale. Temperatures and flame composition were measured in a variety of combustion systems including a high pressure, high temperature combustion cell. Algorithms for real-time temperature measurements were developed and demonstrated. This approach should provide a real-time temperature profile, temperature pattern factor, and chemical species sensing capability for multi-point monitoring of high temperature and high pressure flow at the combustor exit with application as an engine development diagnostic tool, and ultimately, as a real-time active control component for high performance gas turbines.

Intelligent Process Control of Silicon Nitride Chemical Vapor Deposition

1994 ◽  
Vol 363 ◽  
Author(s):  
Paul S. Bowen ◽  
Steve K. Phelps ◽  
Harry I. Ringermacher ◽  
Richard D. Veltri
Keyword(s):  
Chemical Vapor Deposition ◽  
High Temperature ◽  
Silicon Nitride ◽  
Process Control ◽  
Real Time ◽  
Vapor Deposition ◽  
Process Model ◽  
Chemical Vapor ◽  
Laser Ultrasonics ◽  
Hierarchical Architecture

AbstractThe chemical vapor deposition of silicon nitride can be used to protect advanced materials and composites from high temperature, corrosive, and oxidative environments. Desired coating characteristics, such as uniformity and morphology, cannot be measured in-situ by traditional sensors due to the adverse conditions within the high-temperature reactor. A control strategy has been developed which utilizes a process model and an advanced laser-based sensor to measure the deposition rate of the silicon nitride coating in real-time. The control system is based on a three level hierarchical architecture which functionally separates the process control into PID, supervisory and advanced sensor-based control. Optimal setpoint schedules for the supervisory level are derived from a quasi-fuzzy logic inverse mapping of the process model. An advanced sensor utilizing laser ultrasonics provides real-time coating thickness estimates. Model bias is characterized for each reactor and is correlated on-line with the sensor's deposit thickness estimate. Deviations from model predictions may result in parametric changes to the process model. New setpoint schedules are then created as input to the supervisory control level by regenerating the inverse map of the updated process model.

scholarly journals A Real-Time 3D Measurement System for the Blast Furnace Burden Surface Using High-Temperature Industrial Endoscope

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 869 ◽  
Author(s):  
Tianxiang Xu ◽  
Zhipeng Chen ◽  
Zhaohui Jiang ◽  
Jiancai Huang ◽  
Weihua Gui
Keyword(s):  
Blast Furnace ◽  
High Temperature ◽  
Real Time ◽  
Measurement System ◽  
Reconstruction Method ◽  
3D Measurement ◽  
3D Shape ◽  
Camera Array ◽  
3D Measurement System ◽  
High Dust

Capturing the three-dimensional (3D) shape of the burden surface of a blast furnace (BF) in real-time with high accuracy is crucial for improving gas flow distribution, optimizing coke operation, and stabilizing BF operation. However, it is difficult to perform 3D shape measurement of the burden surface in real-time during the ironmaking process because of the high-temperature, high-dust, and lightless enclosed environment inside the BF. To solve this problem, a real-time 3D measurement system is developed in this study by combining an industrial endoscope with a virtual multi-head camera array 3D reconstruction method. First, images of the original burden surface are captured using a purpose-built industrial endoscope. Second, a novel micro-pixel luminance polarization method is proposed and applied to compensate for the heavy noise in the backlit images due to high dust levels and poor light in the enclosed environment. Third, to extract depth information, a multifeature-based depth key frame classifier is designed to filter out images with high levels of clarity and displacement. Finally, a 3D shape burden surface reconstruction method based on a virtual multi-head camera array is proposed for capturing the real-time 3D shape of the burden surface in an operational BF. The results of an industrial experiment illustrate that the proposed method can measure the 3D shape of the entire burden surface and provide reliable burden surface shape information for BF control.

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