Yields from pyrolysis of refinery residue using a batch process

a study on the design of bio-ethanol process from date wastes of sistan and baluchistan province

اتانول کاربردهای متنوعی در صنایع لاستیک سازی، رنگسازی، حلالها ومکمل سوخت خودرو دارد. اتانول برخلاف نفت از جمله مواد تجدیدپذیر محسوب می شود که مشکلات زیست محیطی و آلودگی نیز ایجاد نمی کند. استفاده از اتانول به عنوان مکمل سوختخودروها از جمله مهمترین مصارف صنعتی این ماده بشمار می رود. با توجه به این موضوع تحقیق و توسعه در زمینه تولید اتانول با درجه خلوص بالا در سطح جهان، و نه تنها در کشور های پیشر...

Estimation of pyrolysis product of LDPE degradation using different process parameters in a stirred reactor

Pyrolysis of low density polyethylene (LDPE) by equilibrium fluid catalytic cracking (FCC) was studied in a stirred reactor under different process parameters. In this work, the effect of process parameters such as degradation temperature (420-510°C), catalyst/polymer ratio (0-60%), carrier gas type (H2, N2, ethylene, propylene, Ar and He), residence time and agitator speed (0-300 rpm) on the c...

Removal of radium from groundwater using a modified bauxite refinery residue.

Radium (Ra) removal by an unconventional sorbent, a modified bauxite refinery residue (MBRR), is investigated for a groundwater extracted in Missouri, USA. The MBRR treatment causes substantial reductions of both gross α and combined Ra activities from 0.955 ± 0.005 and 0.66 ± 0.005 Bq L to below detection limits (0.037 Bq L or 1 pCi L). Column breakthrough occurs at 0.555 Bq L for gross α and ...

f/sla from learner perspectives: a social activity or a cognitive process

in the past couple of decades sociocultural theory of sla and its implications in efl contexts have attracted attentions of research circles worldwide and aroused some controversies. firth and wagner (1997) have questioned the principles of the cognitive view which gives importance to mental constructs in favor of sociocultural view which highlights social and contextual constructs. but if soci...

Product Yields Prediction of Tehran Refinery Hydrocracking Unit Using Artificial Neural Networks