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小木虫论坛-学术科研互动平台» 学术交流区» 论文翻译 » 论文翻译求助完结子版 » 【求助完毕】【截止日期2009-9-15】帮忙润色一个abstract
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kky258

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[交流] 【求助完毕】【截止日期2009-9-15】帮忙润色一个abstract

Development of efficient and accurate methods for prediction of critical properties of pure chemical substances is of great importance in chemical engineering. A new model for prediction of critical properties of pure substances on the basis of a quartic equation of state (EOS) is presented. The model can be used to evaluate critical temperature (Tc), pressure (Pc), and volume (Vc) simultaneously without knowledge of molecular structure and it is effective in distinguishing among isomers. In the model, parameters in the EOS were rewritten as functions of temperature (T, in K) and there are totally eleven substance-specific parameters in the functions for each substance. Only a few easily measured experimental points including temperature, saturated vapor pressure, and saturated liquid molar volume are required for estimation of the substance-specific parameters. We have examined this model for a list of substances including polar, non-polar and monatomic substances. The average absolute deviation for prediction of Tc, Pc, and Vc of the proposed model were 1.87%, 5.05%, and 0.97%, respectively.
自己觉得写得有点乱，请高手检查一下语法句子结构等。谢谢

[ Last edited by qingshaojun0823 on 2009-9-15 at 22:25 ]
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1楼 2009-09-12 14:59:31
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syhman

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linghanyuan(金币+1,VIP+0):谢谢交流 9-13 18:02
Developing efficient and accurate methods for predicting of critical properties of pure chemical substances is of great importance in chemical engineering. A new model for predicting critical properties of pure substances on the basis of a quartic equation of state (EOS) is presented. The model can be used to evaluate critical temperature (Tc), pressure (Pc), and volume (Vc) simultaneously with no need of knowledge of molecular structure and it is effective on distinguishing (among) isomers. Furthermore, in this model, parameters in the EOS were rewritten as functions of temperature (T, in K) and there are totally eleven substance-specific parameters in the functions for each substance. Only a few experimental points measured easily including temperature, saturated vapor pressure, and saturated liquid molar volume are required for estimation of the substance-specific parameters. We have examined this model for a list of substances including polar, non-polar and monatomic substances. The average absolute deviation for predicting Tc, Pc, and Vc of the proposed model were 1.87%, 5.05%, and 0.97%,


不错 不错
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向前跑......
5楼2009-09-12 22:10:47
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nono2009

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linghanyuan(金币+1,VIP+0):谢谢交流 9-12 16:54
kky258(金币+12,VIP+0):还是你的最好 9-14 09:20
Looks pretty good. Made some minor revisions for your reference.

Development of efficient and accurate methods for prediction of critical properties of pure chemical substances is of great importance in chemical engineering. A new model for prediction of critical properties of pure substances based on a quartic equation of state (EOS) is presented. The model can be used to evaluate the critical temperature (Tc), pressure (Pc), and volume (Vc) simultaneously without knowledge of molecular structure. It is also effective in distinguishing isomers. In the model, parameters in the EOS were rewritten as functions of temperature (T, in K) and there are totally eleven substance-specific parameters in the functions for each substance. Only a few easily measured experimental data including temperature, saturated vapor pressure, and saturated liquid molar volume are required to estimate the substance-specific parameters. This model has been validated with a number of substances including polar, non-polar and monatomic substances. The average absolute deviations in prediction of Tc, Pc, and Vc are 1.87%, 5.05%, and 0.97%, respectively.
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2楼2009-09-12 15:57:39
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jw227

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linghanyuan(金币+1,VIP+0):谢谢参与 9-12 16:54
kky258(金币+5,VIP+0):很不错，辛苦了 9-14 09:21
Developing efficient and accurate methods for predicting of critical properties of pure chemical substances is of great importance in chemical engineering. A new model for predicting critical properties of pure substances on the basis of a quartic equation of state (EOS) is presented. The model can be used to evaluate critical temperature (Tc), pressure (Pc), and volume (Vc) simultaneously with no need of knowledge of molecular structure and it is effective on distinguishing (among) isomers. Furthermore, in this model, parameters in the EOS were rewritten as functions of temperature (T, in K) and there are totally eleven substance-specific parameters in the functions for each substance. Only a few experimental points measured easily including temperature, saturated vapor pressure, and saturated liquid molar volume are required for estimation of the substance-specific parameters. We have examined this model for a list of substances including polar, non-polar and monatomic substances. The average absolute deviation for predicting Tc, Pc, and Vc of the proposed model were 1.87%, 5.05%, and 0.97%,

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我是来消遣的
3楼2009-09-12 16:20:44
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goodtimega

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linghanyuan(金币+1,VIP+0):谢谢交流 9-13 18:01
kky258(金币+1,VIP+0):xx 9-14 09:21
楼上正解

Developing efficient and accurate methods for predicting of critical properties of pure chemical substances is of great importance in chemical engineering. We present a new model for predicting critical properties of pure substances based on a quartic equation of state (EOS). The model can be employed to simultaneously evaluate critical temperature (Tc), pressure (Pc), and volume (Vc)  without a prior knowledge of molecular structure and thus is effective on distinguishing the characteristics of isomers. Furthermore, in this model, parameters in the EOS are termed as functions of temperature (T, in K) and there are totally eleven substance-specific parameters in the functions for each substance. Only a few experimental inputs that can be measured readily including temperature, saturated vapor pressure, and saturated liquid molar volume are required for estimation of the substance-specific parameters. We have examined this model for a list of substances including polar, non-polar and monatomic substances. The average absolute deviation for predicting Tc, Pc, and Vc of the proposed model were 1.87%, 5.05%, and 0.97%, respectively.
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4楼2009-09-12 19:28:30
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