scholarly journals Comparative estimation of models with different structures for estimation of mechanical properties of light steel profiles

2019 ◽  
Vol 5 (4) ◽  
pp. 16-27
Author(s):  
Zambrano Ortíz Denis Joaquín ◽  
Litardo Velásquez Rosa Mariuxi ◽  
Arzola Ruiz José
Keyword(s):  
Mechanical Properties ◽  
Neural Networks ◽  
Case Studies ◽  
Regularization Method ◽  
Linear Models ◽  
Linear Quadratic ◽  
Steel Company ◽  
Iterative Regularization ◽  
Rolling Mills ◽  
Network Training

The paper presents linear, quadratic, signomial and radial-based neural networks for the estimation of the mechanical properties of steel profiles for construction obtained from the chemical composition of the batches, the cross-section of the profile to be laminated, for the lamination workshops taken as case studies. As primary information, a database with the batches produced in the Antillana de Acero rolling mills is used for more than ten years. The results obtained show that the radial base neural networks applying Landweber's iterative regularization method to network training provide the highest precision. The signomial, quadratic and linear models reach similar values ​​of precision taking as a criterion of comparison the standard deviation of the estimate with respect to the results of the passive experiments obtained from the quality control of the production. The modeling work is done for the case studies of the laminating workshops 250 and 300 of the steel company Antillana de Acero.

JESSOP JS600

Alloy Digest ◽  
1983 ◽  
Vol 32 (6) ◽  
Keyword(s):  
Mechanical Properties ◽  
Corrosion Resistance ◽  
Food Processing ◽  
Iron Alloy ◽  
High Strength ◽  
Heat Treating ◽  
Steel Company ◽  
Nickel Chromium ◽  
Good Workability ◽  
Resistance To Heat

Abstract JESSOP JS600 is a nickel-chromium-iron alloy for use in environments requiring resistance to heat and/or corrosion. It has excellent mechanical properties and a combination of high strength and good workability. It performs well in applications with temperatures from cryogenic to more than 2000 F. Its many applications include aircraft/aerospace components, equipment for chemical and food processing and parts for heat-treating equipment. This datasheet provides information on composition, physical properties, elasticity, and tensile properties. It also includes information on corrosion resistance as well as forming, heat treating, machining, joining, and surface treatment. Filing Code: Ni-287. Producer or source: Jessop Steel Company.

SANDVIK 3R12HT

Alloy Digest ◽  
2002 ◽  
Vol 51 (4) ◽  
Keyword(s):  
Mechanical Properties ◽  
Corrosion Resistance ◽  
High Temperature ◽  
Physical Properties ◽  
Tensile Properties ◽  
Heat Treating ◽  
Bend Strength ◽  
Steel Company ◽  
Temperature Performance ◽  
Metallurgical Processing

Abstract Sandvik 3R12HT is an improved version of Type 304L for better mechanical properties at high temperatures. This is accomplished by improved metallurgical processing and a modified chemistry. This datasheet provides information on composition, physical properties, hardness, elasticity, tensile properties, and bend strength as well as creep. It also includes information on high temperature performance and corrosion resistance as well as heat treating and joining. Filing Code: SS-850. Producer or source: Sandvik Steel Company.

JESSOP JS17Cr-4Ni

Alloy Digest ◽  
1982 ◽  
Vol 31 (7) ◽  
Keyword(s):  
Mechanical Properties ◽  
Corrosion Resistance ◽  
Food Processing ◽  
Precipitation Hardening ◽  
High Strength ◽  
Heat Treating ◽  
Steel Company ◽  
Lower Strength ◽  
Nickel Copper ◽  
Short Time

Abstract JESSOP JS17Cr-4Ni is a martensitic, precipitation-hardening chromium-nickel-copper stainless steel. It provides an excellent combination of high strength and hardness, short-time low-temperature precipitation hardening and good mechanical properties at temperatures up to 600 F (316 C). Its corrosion resistance is quite good but inferior to lower strength grades produced for corrosion-resistance applications. JS17Cr-4Ni is used widely for critical applications in the aerospace, chemical, food processing and other industries. This datasheet provides information on composition, physical properties, hardness, elasticity, and tensile properties as well as fracture toughness and fatigue. It also includes information on corrosion resistance as well as forming, heat treating, machining, joining, and surface treatment. Filing Code: SS-412. Producer or source: Jessop Steel Company.

scholarly journals Sensuator: A Hybrid Sensor–Actuator Approach to Soft Robotic Proprioception Using Recurrent Neural Networks

Actuators ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 30
Author(s):  
Pornthep Preechayasomboon ◽  
Eric Rombokas
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Linear Models ◽  
Open Loop ◽  
Proof Of Concept ◽  
State Estimator ◽  
Loop Control ◽  
Practical Applications ◽  
Soft Actuator ◽  
The Cost

Soft robotic actuators are now being used in practical applications; however, they are often limited to open-loop control that relies on the inherent compliance of the actuator. Achieving human-like manipulation and grasping with soft robotic actuators requires at least some form of sensing, which often comes at the cost of complex fabrication and purposefully built sensor structures. In this paper, we utilize the actuating fluid itself as a sensing medium to achieve high-fidelity proprioception in a soft actuator. As our sensors are somewhat unstructured, their readings are difficult to interpret using linear models. We therefore present a proof of concept of a method for deriving the pose of the soft actuator using recurrent neural networks. We present the experimental setup and our learned state estimator to show that our method is viable for achieving proprioception and is also robust to common sensor failures.

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