Development of a hazardous material selection procedure for the chemical accident response manual

2019 ◽  
Vol 36 (3) ◽  
pp. 333-344
Author(s):  
Kwanghee Lee ◽  
Byeonggil Lyu ◽  
Hyungtae Cho ◽  
Chanho Park ◽  
Sunghyun Cho ◽  
...  
Keyword(s):  
Material Selection ◽  
Selection Procedure ◽  
Hazardous Material ◽  
Chemical Accident ◽  
Accident Response

scholarly journals Stimuli Selection Criteria for the Experiment “Visual Perception of Imitative Words in Native and Non-Native Language by the Method Lexical Decision”

Discourse ◽  
2020 ◽  
Vol 6 (5) ◽  
pp. 97-112
Author(s):  
M. A. Flaksman ◽  
Yu. V. Lavitskaya ◽  
Yu. G. Sedelkina ◽  
L. O. Tkacheva
Keyword(s):  
Visual Perception ◽  
Lexical Decision ◽  
Native Language ◽  
Material Selection ◽  
Selection Procedure ◽  
Parts Of Speech ◽  
Clear Cut ◽  
Gradual Loss ◽  
Etymological Dictionary ◽  
Selection For

Introduction. The present article is aiming to describe the procedure of stimuli selection for the psycho-semantic experiment on visual perception of imitative words in native (Russian) and non-native language (English). The methodology of the experiment is predominantly based on the implementation of the “lexical decision” method. Thus, the aim of the article is to verify the procedure of and to define clear-cut criteria for the material selection. In particular, we introduce indicating de-iconization stage of imitative words as an important criterion for data pre-selection. De-iconization is a gradual loss of an iconic sound-sense link in an imitative word due to the parallel impact of regular sound changes and semantic shifts.Methodology and sources. The  research  methodology  is  based  on  the  works  ofS. V. Voronin who is the founder of phonosemantics as a linguistic discipline inRussia, as well as on works of his followers (including a co-author of this paper, M. A. Flaksman). The article is also based on the methodology of research on phonotactics. The authors also use psycho-semantic methods such as the method of lexical decision. The main sources of stimuli selection are The Russia Etymological Dictionary by M. Vasmer, The Oxford English Dictionary, the frequency dictionaries by O. N. Liashevskaya and S. A. Sharov. The classification of imitative words according to their de-iconization stages was done by the method of the diachronic evaluation of the imitative lexicon.Results and discussion. As a result of a rigorous selection procedure described in the article the authors arrived on 128 stimuli (an even number (64 + 64) of words and quasiwords). The quasi-words are coined according to phonotactic rules and made according to the same pattern as the corresponding words. The group of real words is constituted of two sub-groups: 32 imitative words and 32 non-imitative words. The words from these two subgroups are homomorphous – they have the same number of syllables, frequency and belong to the same parts of speech. Imitative words include onomatopoeic and soundsymbolic words of different sub-classes and de-iconization stages. The combination of the material selection methods discussed in this paper (especially, the introduction of the distinction of imitative words according to their de-iconization stage) is aiming at facilitating the experiment procedure as well as eliminating the chance factors.Conclusion. The stimuli selection for the psycholinguistic experiment based on the procedure introduced in this paper allows to establish the existing patterns of the systematic function of human brain in the process of visual perception of imitative words on different de-iconization stages.

On the effectiveness of shelter-in-place as a measure to reduce harm from atmospheric releases

2014 ◽  
Vol 12 (3) ◽  
pp. 245
Author(s):  
Shuming Du, PhD
Keyword(s):  
Exchange Rate ◽  
Mass Conservation ◽  
Conservation Equation ◽  
Hazardous Material ◽  
Air Exchange Rate ◽  
Chemical Attack ◽  
Chemical Accident ◽  
Atmospheric Releases ◽  
Toxic Load ◽  
Mass Conservation Equation

Shelter-in-place (SIP) is recommended by numerous entities as a measure to reduce harm in the event of a chemical accident or chemical attack taking place in the atmosphere. This article, based on solving mass conservation equation for indoor hazardous material, examines how effective SIP is to reduce the harm. It is shown that SIP can be effective when the shelter's air exchange rate is low and when the release duration is short. The effectiveness is strongly affected by the hazardous material itself: SIP is more effective for hazardous material with higher toxic load exponent. Another finding is that leaving the shelter promptly after the event can also be critical.

Development of Chemical Accident Response Information Sheets for Phosgene

2019 ◽  
Vol 7 (1) ◽  
pp. 27-35
Author(s):  
Eun-Hye Kwon ◽  
Ji-Su Bae ◽  
Young-Sam Yoon ◽  
Tae-Wan Jeon ◽  
Sun-Kyoung Shin
Keyword(s):  
Response Information ◽  
Chemical Accident ◽  
Accident Response

scholarly journals Analisa Desain Rangka Alat Compact Heat Induction Press Menggunakan Metode Finite Element Analysis

2021 ◽  
Vol 5 (2) ◽  
pp. 83
Author(s):  
Ilham Taufik Maulana ◽  
Ahmad Zohari ◽  
Adik Susilo Wardoyo ◽  
Pilar Adhana Heryanto
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Safety Factor ◽  
Material Selection ◽  
Raw Materials ◽  
Selection Procedure ◽  
Machining Process ◽  
Element Analysis ◽  
Frame Design ◽  
Use Of Technology

<p><em>In manufacturing technology, accuracy, effectiveness, and efficiency are important factors because the use of technology is expected to maximize quality and quantity with existing resources. The manufacturing process is the process of making products starting with the selection of raw materials and the machining process following the design to suit the needs. In other words, design is the main thing before carrying out manufacturing activities. Meanwhile, in designing a machine, it is necessary to have a material selection procedure according to the application conditions. The strength of the material can be obtained by simulating it using the Finite Element Analysis (FEA) method. This simulation aims to determine the maximum safe load limit on the tool frame design. In this study, the design of the tool frame made was given 5 loading treatments, the minimum loading was 50kg and the maximum loading was 200kg. Based on the simulation results, the maximum safety factor occurs at 50 kg loading of 10,019 ul and the minimum safety factor occurs at 200 kg loading with a value of 3.60064 ul. Based on the analysis of the load given to the frame of the compact press and sintering tool that the designed tool is safe.</em></p>

scholarly journals Material Selection of Machine Design using Expert System: A Comparative Study

2021 ◽  
pp. 14-17
Author(s):  
Prithwiraj Jana ◽  
Keyword(s):  
Expert System ◽  
Material Selection ◽  
Selection Procedure ◽  
The Other ◽  
Machine Design ◽  
Weight Factor ◽  
System A ◽  
Personal Bias ◽  
Alternative Material ◽  
Selection Of

This research venture one of the major concerns in the field of expert system. Material selection an important key issue of machine design. Objectives of computerized selection procedure are reduced to personal bias and gives the more accurate optimized result. The concept of entropy; to evaluate the weight factor for each alternative material property or performance index, and the other is TOPSIS and SAW; to rank the candidate materials, for which several requirements are considered simultaneously. Sensitivity analysis is introduced here for better performance of selection.

scholarly journals An Integrated Decision Framework for Material Selection Procedure: A Case Study in a Detergent Manufacturer

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 657 ◽  
Author(s):  
Mehtap Dursun ◽  
Özlem Arslan
Keyword(s):  
New Product Development ◽  
Quality Function Deployment ◽  
Material Selection ◽  
Selection Procedure ◽  
Assessment Method ◽  
Product Development Process ◽  
Suitable Alternative ◽  
Suitable Material ◽  
Detergent Manufacturer

The new product development process (NPD) is considered to be the key factor of competition among different markets. The identification of a suitable material is an important issue in the conception and improvement of new products. Material selection is seen as an important multi-criteria decision making (MCDM) problem in engineering because of the requirement of considering multiple criteria from different dimensions. Improper material selection may negatively affect the success of a firm. The purpose of this study is to specify the importance of selection attributes, which are considered to evaluate washing liquid that meets the needs of both customers and firms. Then, it objects to choose the most appropriate alternative among various formulations. A fuzzy MCDM methodology based on quality function deployment (QFD), 2-tuple fuzzy linguistic representation, and linguistic hierarchies is presented. QFD is used to incorporate customer requirements into the evaluation process. The 2-tuple fuzzy modeling and linguistic hierarchies are employed to combine multi-granular data given by experts. Finally, the fuzzy COPRAS (Complex Proportional Assessment) method is used to choose the most suitable alternative. The implementation of the developed method is presented by a case study conducted on a detergent manufacturer located in Turkey.

Simultaneous Geometry Optimization and Material Selection for Truss Structures

2006 ◽  
Author(s):  
Sourav Rakshit ◽  
G. K. Ananthasuresh
Keyword(s):  
Optimization Problem ◽  
Material Selection ◽  
General Procedure ◽  
Minimum Weight ◽  
Geometry Optimization ◽  
Selection Procedure ◽  
Truss Structures ◽  
Discrete Problem ◽  
Suitable Material ◽  
Maximum Stiffness

In this work, we explore simultaneous design and material selection by posing it as an optimization problem. The underlying principles for our approach are Ashby’s material selection procedure and structural optimization. For the simplicity and ease of initial implementation of the general procedure, truss structures under static load are considered in this work in view of maximum stiffness, minimum weight/cost and safety against failure. Along the lines of Ashby’s material indices, a new design index is derived for trusses. This helps in choosing the most suitable material for any design of a truss. Using this, both the design space and material database are searched simultaneously using optimization algorithms. The important feature of our approach is that the formulated optimization problem is continuous even though the material selection is an inherently discrete problem.

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