scholarly journals Some reasons for decreased service time of dies for Al hot extrusion

Author(s):  
P. Fajfar ◽  
P. Panjan ◽  
G. Kugler ◽  
M. Terčelj
Keyword(s):  
Author(s):  
S. Wisutmethangoon ◽  
T. F. Kelly ◽  
J.E. Flinn

Vacancies are introduced into the crystal phase during quenching of rapid solidified materials. Cavity formation occurs because of the coalescence of the vacancies into a cluster. However, because of the high mobility of vacancies at high temperature, most of them will diffuse back into the liquid phase, and some will be lost to defects such as dislocations. Oxygen is known to stabilize cavities by decreasing the surface energy through a chemisorption process. These stabilized cavities, furthermore, act as effective nucleation sites for precipitates to form during aging. Four different types of powders with different oxygen contents were prepared by gas atomization processing. The atomized powders were then consolidated by hot extrusion at 900 °C with an extrusion ratio 10,5:1. After consolidation, specimens were heat treated at 1000 °C for 1 hr followed by water quenching. Finally, the specimens were aged at 600 °C for about 800 hrs. TEM samples were prepared from the gripends of tensile specimens of both unaged and aged alloys.


Alloy Digest ◽  
1967 ◽  
Vol 16 (4) ◽  

Abstract Mustang-LC is a tungsten-molybdenum high-speed steel specially developed for hot work applications requiring long die life. It is recommended for hot forming and swaging dies, hot extrusion dies, hot punches, etc. This datasheet provides information on composition, physical properties, hardness, and elasticity. It also includes information on forming, heat treating, machining, and joining. Filing Code: TS-192. Producer or source: Jessop Steel Company.


Alloy Digest ◽  
1989 ◽  
Vol 38 (2) ◽  

Abstract UNS T20819 is a hot-work tool and die steel that is characterized by excellent resistance to shock and abrasion at elevated temperatures. This steel provides relatively high toughness and outstanding resistance to heat checking and softening at elevated temperatures. Among its many applications are hot-punch tools, forging dies and inserts, brass extrusion dies, permanent molds for brass casting and hot-extrusion die inserts for steel. This datasheet provides information on composition, hardness, and tensile properties as well as fracture toughness. It also includes information on high temperature performance as well as forming, heat treating, machining, and joining. Filing Code: TS-496. Producer or source: Tool steel mills.


2003 ◽  
Vol 6 (3-4) ◽  
pp. 241-270 ◽  
Author(s):  
Per T Moe ◽  
Martin Lefstad ◽  
Robert Flatval ◽  
S StØren
Keyword(s):  

2013 ◽  
Vol 49 (6) ◽  
pp. 641 ◽  
Author(s):  
Renci LIU ◽  
Zhen WANG ◽  
Dong LIU ◽  
Chunguang BAI ◽  
Yuyou CUI ◽  
...  

2005 ◽  
Vol 15 (1) ◽  
pp. 25-30
Author(s):  
Yong-Gil Kim ◽  
Hak-Kyu Choi ◽  
Min-Cheol Kang ◽  
Hae-Yong Jeong ◽  
Cha-Hurn Bae

Author(s):  
Jaber Almutairi ◽  
Mohammad Aldossary

AbstractRecently, the number of Internet of Things (IoT) devices connected to the Internet has increased dramatically as well as the data produced by these devices. This would require offloading IoT tasks to release heavy computation and storage to the resource-rich nodes such as Edge Computing and Cloud Computing. Although Edge Computing is a promising enabler for latency-sensitive related issues, its deployment produces new challenges. Besides, different service architectures and offloading strategies have a different impact on the service time performance of IoT applications. Therefore, this paper presents a novel approach for task offloading in an Edge-Cloud system in order to minimize the overall service time for latency-sensitive applications. This approach adopts fuzzy logic algorithms, considering application characteristics (e.g., CPU demand, network demand and delay sensitivity) as well as resource utilization and resource heterogeneity. A number of simulation experiments are conducted to evaluate the proposed approach with other related approaches, where it was found to improve the overall service time for latency-sensitive applications and utilize the edge-cloud resources effectively. Also, the results show that different offloading decisions within the Edge-Cloud system can lead to various service time due to the computational resources and communications types.


Author(s):  
S. Sivasankaran ◽  
K. R. Ramkumar ◽  
Hany R. Ammar ◽  
Fahad A. Al-Mufadi ◽  
Abdulaziz S. Alaboodi ◽  
...  

Author(s):  
A. Damodar Reddy ◽  
P.N. Karthikeyan ◽  
S. Krishnaraj ◽  
Adarsh Ajayan ◽  
K. Sunil Kumar Reddy ◽  
...  

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