Article
Engineering, Chemical
Alexandre C. Dimian, Costin Sorin Bildea
Summary: This paper introduces a new process for manufacturing 1,3-butadiene from renewable bioethanol, and compares it with the one-stage and two-stage processes. The proposed one-stage process utilizes Hf(IV)/Zn(II) catalyst and inert gas to replicate laboratory conditions. The analysis shows that the two-stage process is currently more efficient due to the cost of compressing inert-gas rich mixtures.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Agricultural Engineering
Dominik Andreides, Jhonny Ismael Bautista Quispe, Jana Bartackova, Dana Pokorna, Jana Zabranska
Summary: The study found that the H2 concentration in syngas is the main factor affecting the CH4 content in produced biogas. The use of an ex-situ reactor with H2 addition helps convert residual CO and CO2, achieving a maximum CH4 content of 94.7% in the produced biomethane.
BIORESOURCE TECHNOLOGY
(2021)
Article
Chemistry, Applied
Drew Scott, Naomi E. B. Briggs, Anna Formosa, Annessa Burnett, Bimbisar Desai, Greg Hammersmith, Kersten Rapp, Gerard Capellades, Allan S. Myerson, Thomas D. Roper
Summary: A methodical development approach was used to purify ciprofloxacin hydrochloride hydrate in a portable manufacturing unit. Through experiments and modeling, a continuous two-stage crystallization process was optimized and controlled, resulting in increased purity and yield of ciprofloxacin hydrochloride hydrate. The system also met the assay and water content requirements specified by USP monograph for the first time.
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2023)
Article
Energy & Fuels
Hamilton Guillermo Mosquera-Toscano, Oscar Gonzalez-Barcelo, Idania Valdez-Vazquez, Alfonso Duran-Moreno
Summary: In this study, organic fraction of municipal solid waste (OFMSW) was used for ethanol and methane production in a two-stage process. Different levels of total solids and yeast dose were adjusted for bioaugmentation with Saccharomyces cerevisiae to ferment the OFMSW. The main metabolites in all treatments with bioaugmentation were ethanol, lactic acid, and acetic acid, representing more than 95% of the total metabolites. The highest ethanol production was achieved with the bioaugmentation of 24 g/kg(OFMSW) and 20% of total solids, while the maximum methane potential was obtained with bioaugmentation of 6 g/kg(OFMSW) of yeast and 10% of total solids. This study demonstrated a low-cost alternative for the production of biofuels without the need for pretreatment and enzymatic hydrolysis.
BIOENERGY RESEARCH
(2023)
Article
Agricultural Engineering
Ankita Juneja, Bert Noordam, Herman Pel, Rahul Basu, Maaike Appeldoorn, Vijay Singh
Summary: Optimized two-stage pretreatment conditions convert corn fiber into fermentable sugars with high yields of glucose, xylose, and arabinose after hydrolysis. Using engineered yeast for SSF results in higher ethanol concentrations, while also increasing the protein content in the residual solid.
BIORESOURCE TECHNOLOGY
(2021)
Review
Engineering, Manufacturing
Jennifer Bracken Brennan, Timothy W. Simpson, Christopher McComb, Kathryn W. Jablokow, Joseph Hamann
Summary: As additive manufacturing (AM) becomes more popular, companies are seeking to identify parts that can be produced using AM. This paper reviews and compares 13 published part filtering methods, categorizing and sorting them while examining them through the lens of process specificity. A new part filtering method is proposed and tested, showing improvements in engineers' ability to identify suitable parts for AM.
ADDITIVE MANUFACTURING
(2021)
Article
Polymer Science
Johannes Steindl, Katharina Ehrmann, Christian Gorsche, Ching-Chung Huang, Thomas Koch, Patrick Steinbauer, Andreas Rohatschek, Orestis G. Andriotis, Philipp J. Thurner, Alexander Prado-Roller, Juergen Stampfl, Robert Liska
Summary: The transfer of ABS microstructure to photopolymers via a designed monomer system has been achieved, resulting in new materials with high toughness.
POLYMER INTERNATIONAL
(2022)
Article
Engineering, Mechanical
Saty Dev, Rajeev Srivastava
Summary: This study aims to experimentally analyze and optimize the fused deposition additive manufacturing process for differently shaped acrylic butadiene styrene material parts. By considering five process variables at three levels, the optimized parameters were determined to significantly improve the surface quality, reduce the manufacturing time, and minimize dimensional variation.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
(2022)
Article
Chemistry, Physical
Adama A. Bojang, Ho-Shing Wu
Summary: The conversion of ethanol to 1,3-butadiene was studied using different Zr-based catalysts. The best catalyst was found to be 10% SiO2-ZrO2, which exhibited high conversion, yield, and selectivity. The composition of the catalyst plays a crucial role in the catalyst's performance and lifespan.
Article
Multidisciplinary Sciences
Tiprawee Tongtummachat, Attasak Jaree, Amaraporn Kaewchada, Boonyaporn Sunorakum, Panalee Ignacio, Nattee Akkarawatkhoosith
Summary: This work represents a pioneering use of a two-stage process for sucrose ester production with high productivity and selectivity. The first stage focuses on the conversion of lauric acid into methyl laurate, which is achieved through esterification. The second stage involves the transesterification of methyl laurate into sucrose ester.
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Multidisciplinary
Sang-Ho Chung, Adrian Ramirez, Tuiana Shoinkhorova, Ildar Mukhambetov, Edy Abou-Hamad, Selevedin Telalovic, Jorge Gascon, Javier Ruiz-Martinez
Summary: The Lebedev process involves converting ethanol to butadiene catalytically, with silica-magnesia being a key catalyst for this process. Different preparation methods impact the performance of the catalyst, with wet-kneading resulting in the formation of surface magnesium silicates. The calcination temperature plays a significant role in determining the type of magnesium silicates formed, which in turn affects the catalytic properties and product formation.
Article
Engineering, Chemical
Ionut Banu, Alma-Valentina Brosteanu, Gheorghe Bumbac, Grigore Bozga
Summary: This review article examines the thermodynamics of ethanol conversion to 1,3-butadiene, showing that equilibrium ethanol conversions up to 80% can be achieved even with positive standard Gibbs free energy changes. The inclusion of secondary products in the calculation schemes reduces the process yield at equilibrium, indicating kinetic control. Additionally, the process of producing butadiene from an ethanol-acetaldehyde mixture is slightly favored thermodynamically compared to direct ethanol conversion.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Engineering, Manufacturing
Li-Ping Zhao, Bo-Hao Li, Yi-Yong Yao
Summary: This study proposes a novel predict-prevention quality control method for zero defection manufacturing (ZDM) in multi-stage manufacturing processes (MMP). The method includes quality characteristics monitoring, key quality characteristics prediction, and assembly quality optimization. By analyzing the distribution and considering the correlations between different quality characteristics, a deep supervised long-short term memory (SLSTM) prediction network is built for time series prediction, and a long-short term memory-genetic algorithm (LSTM-GA) network is proposed to optimize the assembly quality. Empirical evaluations on compressors' MMP validate the applicability and practicability of the proposed method.
ADVANCES IN MANUFACTURING
(2023)
Article
Computer Science, Artificial Intelligence
Yuanju Qu, Yue Ma, Xinguo Ming, Yangpeng Wang, Shenghui Cheng, Xianghua Chu
Summary: This paper proposes a novel self-evolving deep CNN method to address the challenges of using DL in smart manufacturing systems. By optimizing hyperparameters and evolving network architectures, the proposed method demonstrates superior performance compared to other self-evolving methods in the experiment.
APPLIED SOFT COMPUTING
(2023)
Article
Polymer Science
Phan Quoc Khang Nguyen, Nima Zohdi, Patrick Kamlade, Richard (Chunhui) Yang
Summary: This study develops a multiscale numerical model and simulation process to predict the material properties of additively manufactured materials. The results show that the model is applicable for simulating the mechanical behaviors of samples and the modified rule of mixtures models improve the prediction accuracy.