scholarly journals The Establishment and Exploration of Diversified High Level Engineering Practice Education Platform

2021 ◽  
Vol 6 (5) ◽  
pp. 138
Author(s):  
Wang Xi ◽  
Liu Jian ◽  
Zhang Xiaojun ◽  
Xue Zhengkun
Keyword(s):  
Engineering Practice ◽  
High Level ◽  
Education Platform ◽  
Practice Education

The Subject of Engineering Practice Education

2000 ◽  
Vol 2000.4 (0) ◽  
pp. 599-600
Author(s):  
Hidetoshi HAYAFUJI ◽  
Yoshio MURAKAMI ◽  
Motomu YOKOMORI ◽  
Muneshige OKUDE
Keyword(s):  
Engineering Practice ◽  
The Subject ◽  
Practice Education

scholarly journals Reform and Practice of the Course “Application of Computer in Materials Science”

2020 ◽  
Vol 3 (3) ◽  
pp. 63
Author(s):  
Li Li
Keyword(s):  
Curriculum Reform ◽  
Materials Science ◽  
Engineering Practice ◽  
Teaching Characteristics ◽  
Teaching Content ◽  
Innovation Ability ◽  
Materials Science And Engineering ◽  
The Subject ◽  
High Level ◽  
Basic Course

<p>The application of computer in materials science, as a professional basic course for undergraduates majoring in materials science and engineering, is both theoretical and operational. At the same time, the practicality and applicability of this course are also obvious. Therefore, there are great challenges for teachers’ teaching and students’ learning. Based on this, combined with the teaching characteristics of the subject, this article explores the teaching reform and practice in terms of teaching content, teaching means and teaching methods, in order to improve the training of high-level applied talents in colleges and universities. The curriculum reform has changed the traditional one-way knowledge transmission teaching mode, which is of great benefit to cultivating students’ engineering literacy, engineering practice ability and innovation ability.</p>

Estimation of the residual strength resource of machines

2019 ◽  
Author(s):  
Kh.B. Kishtykov
Keyword(s):  
Endurance Limit ◽  
Statistical Tests ◽  
Engineering Practice ◽  
Endurance Limits ◽  
Single Overload ◽  
Fatigue Characteristics ◽  
Number Of Cycles ◽  
High Level ◽  
Anomalous Nature ◽  
Irregular Loading

For objective reasons, machines experience short-term overload, which can lead to damage or destruction of the structure. Under these conditions, it is important to estimate the residual resource of machine fatigue characteristics. For this purpose in engineering practice the method of single overloads (from a high level to low) is widely used. The method allows simulating a mode of adverse irregular loading. Single overload at a level exceeding the initial endurance limit for a certain number of cycles reduces the endurance limit and the residual resource of the structure durability. The empirical dependences proposed in the literature for estimating the relative decrease in endurance limits from the overload coefficient and the cyclic ratio give a complete decrease in the secondary endurance limit at a cyclic ratio equal to one. This is inconsistent with experimental results indicating the existence of a marginal reduction in secondary endurance limits. The formula allowing to correct slightly these dependences and to describe marginal decrease of secondary endurance limits, also under some conditions gives full decrease of secondary endurance limits or loses physical sense. Although the dependence proposed for titanium alloys gives a marginal reduction in the secondary endurance limits other than zero, it determines the anomalous nature of the asymptotic curve which does not correspond to numerous experimental data and mathematical models of damage. Earlier, the author has developed a mathematical model of single overloads and on its basis he has performed an estimation of the residual resource of machine durability based on the results of statistical tests of laboratory samples. In this paper, this model is used to estimate the residual structural strength of machines. The calculated dependences are proposed that satisfactorily describe the experiment and are free from the above shortcomings. These relations can be recommended for implementation in the practice of engineering calculations.

scholarly journals Designing patient education with distance learning

2015 ◽  
Author(s):  
Bastiaan Franssen ◽  
Javad Jafari ◽  
Nabil Zary ◽  
Italo Masiello
Keyword(s):  
Decision Support ◽  
Self Management ◽  
Level Of Involvement ◽  
Learning Platform ◽  
Type 2 Diabetics ◽  
High Level ◽  
Education Platform ◽  
Consistent Information ◽  
Patient Centric

Background: Self-management is crucial for patients with chronic diseases. The development of an online learning platform, incorporating a knowledge-driven decision support system, could increase the level of self-management by tailoring education to the patient needs. This leads to better patient understanding and increasing awareness of the importance of self-management. Objective: Describing the needs and requirements of type 2 diabetics for the development of an education platform. The study tried to analyse whether patients like to use a full knowledge driven decision support platform over classic patient centric education. Methods: A qualitative approach for this study used 6 participants, aged 30 to 65 years old. They were diagnosed with type 2 diabetes not earlier than 6 months ago and had no further secondary diabetic complications. They participated in an interview on the several topics related to diabetes. The interview was based on using Diabetes Self-Management Education (DSME). The interview contained both structured and unstructured questions, and was performed with a high-level of involvement to let participants provide consistent information throughout the data-collection. Results: Participants preferred to receive education that is changing to their needs. The incorporation of multimedia was highly recommended, and the method of receiving education was recommended to change per subject. Overall, patient-centric learning was preferred, but knowledge driven learning was welcomed as an addition to some subjects. Conclusion: The education offered is limited to providing basic understanding of self-management. Participants felt the need for follow-up education, but could not be provided with this. The proposed platform, with possibilities to access knowledge whenever the patients needed, was seen as a welcoming addition to the current education. Using patient-centric learning, combined with the integration of knowledge driven decision support, could significantly increase self-management among diabetics.

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