Relevant bibliographies by topics / Genetic modification method (GMM)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Genetic modification method (GMM)'

Author: Grafiati
Published: 2 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "Genetic modification method (GMM)"

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Jain, Sonia, Anders Herfindahl-Quint, Caroline D. Doherty, Wenjuan Zhang, Danielle M. Burgenske, and Jann N. Sarkaria. "Abstract 2531: Novel staining method for visualization, isolation and processing of intracranial brain tumors." Cancer Research 85, no. 8_Supplement_1 (2025): 2531. https://doi.org/10.1158/1538-7445.am2025-2531.

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Abstract Background and Objective: Glioblastoma (GBM) is most common primary brain tumor with dire need of novel therapeutics. Studies with intracranial tumors are required for robust characterization and development of novel drugs for brain cancer. Tumor harvest and processing is an important aspect to study pharmacokinetics, pharmacodynamics, drug delivery, and tumor evolution. Typically, delineating and dissecting tumor from surrounding brain for varied downstream processes is dependent on the distinct morphology of the tumor and/or expression of fluorescent marker. However, genetic modific
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Akhatkulov, Bakhriddin Matlabovich. "SCIENTIFIC, METHODOLOGICAL AND THEORETICAL FOUNDATIONS OF MODERN BIOTECHNOLOGIES IN POTATO SEED PRODUCTION." Multidisciplinary Journal of Science and Technology 5, no. 5 (2025): 565–71. https://doi.org/10.5281/zenodo.15411255.

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<em>The article highlights the scientific, methodological, and theoretical foundations of using modern biotechnologies in potato seed production. Scientific approaches to the development of new potato varieties that are virus-free and adapted to climatic conditions using advanced biotechnological methods are studied. An analysis is conducted on genetic selection methods, molecular marking, plant tissue culture, monoclonal propagation, microbiological, ecological, and agronomic approaches, as well as "in vitro" propagation techniques and biological control measures.</em>
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Lee, Taesam, and Vijay P. Singh. "Discrete <i>k</i>-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change." Geoscientific Model Development 12, no. 3 (2019): 1189–207. http://dx.doi.org/10.5194/gmd-12-1189-2019.

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Abstract. Stochastic weather simulation models are commonly employed in water resources management, agricultural applications, forest management, transportation management, and recreational activities. Stochastic simulation of multisite precipitation occurrence is a challenge because of its intermittent characteristics as well as spatial and temporal cross-correlation. This study proposes a novel simulation method for multisite precipitation occurrence employing a nonparametric technique, the discrete version of the k-nearest neighbor resampling (KNNR), and couples it with a genetic algorithm
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Honkonen, I. "A generic simulation cell method for developing extensible, efficient and readable parallel computational models." Geoscientific Model Development 8, no. 3 (2015): 473–83. http://dx.doi.org/10.5194/gmd-8-473-2015.

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Abstract. I present a method for developing extensible and modular computational models without sacrificing serial or parallel performance or source code readability. By using a generic simulation cell method I show that it is possible to combine several distinct computational models to run in the same computational grid without requiring modification of existing code. This is an advantage for the development and testing of, e.g., geoscientific software as each submodel can be developed and tested independently and subsequently used without modification in a more complex coupled program. An im
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Taisto, Mandy, Barbara Tschida, Alexander Coutts, et al. "TMOD-03. A SWINE MODEL OF GLIOBLASTOMA INDUCED BY SOMATIC GENE MODIFICATION." Neuro-Oncology 23, Supplement_6 (2021): vi216. http://dx.doi.org/10.1093/neuonc/noab196.865.

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Abstract Glioblastoma (GBM) is the most common and malignant primary brain tumor. Novel therapeutic development for GBM is desperately needed, as the standard of care universally fails to cure patients and the 5-year survival rate remains extremely low. GBM therapeutic development is hampered by the lack of relevant preclinical models for preclinical studies. To mitigate this problem, we have developed a genetic model of GBM in outbred, immune-proficient swine which have comparable brain size and anatomy to humans. We developed methods for introducing genome engineering tools to minipig brain
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Koshel, Ivanna. "Level of Arachidonic Acid and State of Peroxidation Processes in Patients with Aspirin-Intolerant Polypous Rhinosinusitis." Galician Medical Journal 23, no. 4 (2016): 2016410. http://dx.doi.org/10.21802/gmj.2016.4.10.

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The main peculiarity of aspirin-intolerant polypous rhinosinusitis pathogenesis is the presence of “genetic block” of constitutive cyclooxygenase being the key enzyme of the arachidonic acid metabolism. It justifies the necessity of studying its metabolic peculiarities.The objective of the research was to determine the level of arachidonic acid as well as the state of lipid and protein peroxidation processes in patients with aspirin-intolerant polypous rhinosinusitis.Materials and methods. The levels of arachidonic acid, malondialdehyde and oxidative modification of serum proteins were studied
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D’aes, Jolien, Marie-Alice Fraiture, Bert Bogaerts, Sigrid C. J. De Keersmaecker, Nancy H. C. J. Roosens, and Kevin Vanneste. "Metagenomic Characterization of Multiple Genetically Modified Bacillus Contaminations in Commercial Microbial Fermentation Products." Life 12, no. 12 (2022): 1971. http://dx.doi.org/10.3390/life12121971.

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Genetically modified microorganisms (GMM) are frequently employed for manufacturing microbial fermentation products such as food enzymes or vitamins. Although the fermentation product is required to be pure, GMM contaminations have repeatedly been reported in numerous commercial microbial fermentation produce types, leading to several rapid alerts at the European level. The aim of this study was to investigate the added value of shotgun metagenomic high-throughput sequencing to confirm and extend the results of classical analysis methods for the genomic characterization of unauthorized GMM. By
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Tschida, Barbara, Dylan Duerre, Mandy Taisto, and Adrienne Watson. "TMOD-20. A SWINE MODEL OF GLIOBLASTOMA INDUCED BY SOMATIC GENE MODIFICATION." Neuro-Oncology 22, Supplement_2 (2020): ii232. http://dx.doi.org/10.1093/neuonc/noaa215.971.

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Abstract Glioblastoma (GBM) is the most common and malignant primary brain tumor. Novel therapeutic development for GBM is needed since the standard of care universally fails to cure patients and the five-year survival rate remains below 10%. GBM therapeutic development is hampered by the lack of relevant large animal models for preclinical studies. To mitigate this problem, we are developing a model of GBM in outbred, immune-proficient swine which have comparable brain size and anatomy to humans. We developed methods for introducing genome engineering tools to minipig brain cells in vivo by d
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Olsen, Timothy R., Pranay Talla, Julia Furnari, et al. "Abstract 1170: Scalable co-sequencing of RNA and DNA from individual nuclei." Cancer Research 83, no. 7_Supplement (2023): 1170. http://dx.doi.org/10.1158/1538-7445.am2023-1170.

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Abstract A scalable co-assay for single cell mRNA and gDNA sequencing could potentially harmonize the identification of rare cell populations and cell states with corresponding cell-lineage relationships, drug sensitivities, and genetic mutations. Such an assay would provide new insights into the relationship between genetic alterations and tumor cell phenotype. However, simultaneously measuring the genomic and transcriptomic content of individual cells at high throughput remains challenging. Here we present single-cell lithium assisted nucleosome depleted sequencing (scLAND-seq), a scalable m
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Přibil, Jiří, Anna Přibilová, and Jindřich Matoušek. "Evaluation of speaker de-identification based on voice gender and age conversion." Journal of Electrical Engineering 69, no. 2 (2018): 138–47. http://dx.doi.org/10.2478/jee-2018-0017.

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AbstractTwo basic tasks are covered in this paper. The first one consists in the design and practical testing of a new method for voice de-identification that changes the apparent age and/or gender of a speaker by multi-segmental frequency scale transformation combined with prosody modification. The second task is aimed at verification of applicability of a classifier based on Gaussian mixture models (GMM) to detect the original Czech and Slovak speakers after applied voice deidentification. The performed experiments confirm functionality of the developed gender and age conversion for all sele
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Dissertations / Theses on the topic "Genetic modification method (GMM)"

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Kwiatkowska, Katarzyna. "Evaluation of a new method for genetic modification of microorganisms." Master's thesis, Universidade de Aveiro, 2011. http://hdl.handle.net/10773/7691.

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Mestrado em Biotecnologia<br>Nowadays recombinant DNA technology is broadly present in our lives, bringing both hopes and fears. Transformation, even if achievable by several techniques, still faces with unsatisfying efficiencies and lack of universality. In this work, an attempt to evaluate the potential of a new transformation methodology was made. The idea for this work came from food preservation where high hydrostatic pressure is utilized to inactivate microbial flora, mainly by destructive effects on membranes, as for instance cavities. This way, it is rational to think that sub-le
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Books on the topic "Genetic modification method (GMM)"

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Newton, David E. GMO Food. 2nd ed. ABC-CLIO, LLC, 2021. http://dx.doi.org/10.5040/9798400658136.

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GMO Food: A Reference Handbook offers an in-depth discussion of genetically modified food. It covers the history of, opposition to, regulation of, and labeling of genetic modifications, along with the potential benefits and harm involved. GMO Food: A Reference Handbook is intended to serve as a research guide for young adults in high school and beyond. Students at all grade levels should be able to use the book as an introduction to the history of genetic engineering of organisms and the use of this technology for the development of new forms of crops and foods. They will learn briefly about h
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Newton, David E. GMO Food. ABC-CLIO, LLC, 2014. http://dx.doi.org/10.5040/9798400658129.

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Providing an exhaustive background on the history of genetically modified organism (GMO) crops and foods as well as the controversies surrounding these products, this book allows readers to develop their own particular viewpoint on the production and use of GMO substances. Genetic engineering has long been used to impart desirable characteristics to food plants in order to improve crop yield, pest resistance, and herbicide tolerance. Genetic modification of foods, however, has created a storm of controversy everywhere in the world—including the United States. What are the benefits of and risks
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Book chapters on the topic "Genetic modification method (GMM)"

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Jones, Huw D. "Gene silencing or gene editing: the pros and cons." In RNAi for plant improvement and protection. CABI, 2021. http://dx.doi.org/10.1079/9781789248890.0006.

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Abstract Research into plant genetics often requires the suppression or complete knockout of gene expression to scientifically validate gene function. In addition, the phenotypes obtained from gene suppression can occasionally have commercial value for plant breeders. Until recently, the methodological choices to achieve these goals fell into two broad types: either some form of RNA-based gene silencing; or the screening of large numbers of natural or induced random genomic mutations. The more recent invention of gene editing as a tool for targeted mutation potentially gives researchers and plant breeders another route to block gene function. RNAi is widely used in animal and plant research and functions to silence gene expression by degrading the target gene transcript. Although RNAi offers unique advantages over genomic mutations, it often leads to the formation of a genetically modified organism (GMO), which for commercial activities has major regulatory and acceptance issues in some regions of the world. Traditional methods of generating genomic mutations are more laborious and uncertain to achieve the desired goals but possess a distinct advantage of not being governed by GMO regulations. Gene editing (GE) technologies have some of the advantages of both RNAi and classical mutation breeding in that they can be designed to give simple knockouts or to modulate gene expression more subtly. GE also has a more complex regulatory position, with some countries treating it as another conventional breeding method whilst the EU defines GE as a technique of genetic modification and applies the normal GMO authorization procedures. This chapter explores the pros and cons of RNAi alongside other methods of modulating gene function.
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Jones, Huw D. "Gene silencing or gene editing: the pros and cons." In RNAi for plant improvement and protection. CABI, 2021. http://dx.doi.org/10.1079/9781789248890.0047.

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Abstract Research into plant genetics often requires the suppression or complete knockout of gene expression to scientifically validate gene function. In addition, the phenotypes obtained from gene suppression can occasionally have commercial value for plant breeders. Until recently, the methodological choices to achieve these goals fell into two broad types: either some form of RNA-based gene silencing; or the screening of large numbers of natural or induced random genomic mutations. The more recent invention of gene editing as a tool for targeted mutation potentially gives researchers and plant breeders another route to block gene function. RNAi is widely used in animal and plant research and functions to silence gene expression by degrading the target gene transcript. Although RNAi offers unique advantages over genomic mutations, it often leads to the formation of a genetically modified organism (GMO), which for commercial activities has major regulatory and acceptance issues in some regions of the world. Traditional methods of generating genomic mutations are more laborious and uncertain to achieve the desired goals but possess a distinct advantage of not being governed by GMO regulations. Gene editing (GE) technologies have some of the advantages of both RNAi and classical mutation breeding in that they can be designed to give simple knockouts or to modulate gene expression more subtly. GE also has a more complex regulatory position, with some countries treating it as another conventional breeding method whilst the EU defines GE as a technique of genetic modification and applies the normal GMO authorization procedures. This chapter explores the pros and cons of RNAi alongside other methods of modulating gene function.
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Dhang, Partho, Philip Koehler, Roberto Pereira, and Daniel D. Dye II. "Mosquitoes." In Key questions in urban pest management: a study and revision guide. CABI, 2022. http://dx.doi.org/10.1079/9781800620179.0003.

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Abstract This book chapter discusses mosquitoes as deadly disease vectors. Biological control is usually implemented for control of larval populations using predators (e.g. top feeding minnows and copepods) or pathogens and pathogen products (i.e., Bacillus thuringiensis israeliensis and B. sphericus). Genetic control is being implemented by releasing sterilized male mosquitoes (genetically modified, radiation sterilised, or transgenic mosquitoes). It starts with minimizing bites through the use of window screens on houses and animal shelters, and the use of treated bed nets and personal repellents. Habitat modification is a reliable method that eliminates adult resting sites and source reduction of larval development areas.
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Matos, Liliana, Juliana I. Santos, Mª Francisca Coutinho, and Sandra Alves. "How to Design U1 snRNA Molecules for Splicing Rescue." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2010-6_5.

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AbstractMutations affecting constitutive splice donor sites (5′ss) are among the most frequent genetic defects that disrupt the normal splicing process. Pre-mRNAsplicing requires the correct identification of a number of cis-acting elements in an ordered fashion. By disrupting the complementarity of the 5′ss with the endogenous small nuclear RNA U1 (U1 snRNA), the key component of the spliceosomal U1 ribonucleoprotein, 5′ss mutations may result in exon skipping, intron retention or activation of cryptic splice sites. Engineered modification of the U1 snRNA seemed to be a logical method to overcome the effect of those mutations. In fact, over the last years, a number of in vitro studies on the use of those modified U1 snRNAs to correct a variety of splicing defects have demonstrated the feasibility of this approach. Furthermore, recent reports on its applicability in vivo are adding up to the principle that engineered modification of U1 snRNAs represents a valuable approach and prompting further studies to demonstrate the clinical translatability of this strategy.Here, we outline the design and generation of U1 snRNAs with different degrees of complementarity to mutated 5′ss. Using the HGSNAT gene as an example, we describe the methods for a proper evaluation of their efficacyin vitro, taking advantage of our experience to share a number of tips on how to design U1 snRNA molecules for splicing rescue.
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Di Zio, Simone. "Reducing inconsistency in AHP by combining Delphi and Nudge theory and network analysis of the judgements: an application to future scenarios." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.17.

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The Analytic Hierarchy Process (AHP) is a Multi-Criteria method in which a number of decision factors (typically criteria and alternatives) are compared pairwise by one or more experts, using the Saaty scale, with the goal of sorting the alternatives (Saaty, 1977; 1980). For group AHP the Delphi method can be used in parallel with the AHP (Di Zio and Maretti, 2014), and this allows the search for a consensus on each pairwise judgement. A big issue of the AHP regards the inconsistency of the pairwise comparison matrices and here we propose a new method to reduce the inconsistency. As a solution we exploit the Nudge theory (Thaler and Sunstein, 2008) and from the second round of the Delphi survey, we calculate and circulate a Nudge to “gentle push” the experts towards more consistent evaluations. Furthermore, we propose the representation of the AHP matrices through graphs. In a direct graph two nodes are linked with two direct and weighted edges (or one edge with the direction based on the weights), where the weights indicate the evaluation given by an expert or, for a group, the geometric mean of the judgements. This type of visualization facilitates the reading of the results and could also be used as real-time feedback in the Delphi process, by displaying on the edges also a measure of variability. An application is proposed, on the evaluation of four future scenarios on the regulation of genetic modification experiments, assessed by a panel of 27 experts according to different criteria (plausibility, consistency and simplicity). The application demonstrated that it is possible to: a) reduce the inconsistency; b) collect useful textual material which enrich the AHP itself; c) use the inconsistency index as a stopping criterion for the Delphi rounds; d) display the pairwise comparison matrices with graphs.
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Kashkevich, Svitlana, Oleksandr Yaryzhko, Olena Nosyryeva, Anzhela Popova, Ihor Pimonov, and Dmitry Leinyk. "Intelligent methods for evaluating the state of hierarchical systems." In DECISION SUPPORT SYSTEMS: MATHEMATICAL SUPPORT. TECHNOLOGY CENTER PC, 2025. https://doi.org/10.15587/978-617-8360-13-9.ch6.

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This section of the study proposes intelligent methods for assessing the state of hierarchical systems. During the research, the authors:– conducted an analysis of knowledge representation models, substantiating the advantages of using production knowledge representation in expert systems. The study outlines key concepts of fuzzy expert systems and formulates a formal task for accelerating decision-making in the rule base of a fuzzy expert system;– developed a methodology for assessment and prediction using fuzzy cognitive maps. The novelty of the proposed methodology lies in:– considering a corrective coefficient for the degree of uncertainty regarding the state of the object;– adding a corrective coefficient for data noise resulting from distortions in object state information;– reducing computational costs when evaluating object states;– creating a multilevel and interconnected description of hierarchical objects;– adjusting the object description due to changes in its current state using a genetic algorithm;– enabling calculations with input data of different natures and measurement units. The research includes the development of a visualization method for hierarchical system states. The novelty of this method lies in:– creating a visual, multilevel, and interconnected description of the hierarchical system;– enhancing decision-making efficiency in assessing the hierarchical system’s state;– addressing the issue of global and local extrema when evaluating the state of hierarchical systems;– combining graphical and numerical representations of the monitored parameters of the hierarchical system’s state;– avoiding loop formation during real-time visualization of hierarchical system states. The study also develops a method for evaluating complex hierarchical systems based on an improved particle swarm optimization (PSO). This evaluation method combines PSO with coordinate averaging and its modification by employing multiple particle swarms and integrating the Hooke-Jeeves procedure and appropriate corrective coefficients. The novelty of this method lies in:– creating a multilevel and interconnected description of real-time complex hierarchical systems;– enhancing decision-making efficiency for real-time hierarchical systems assessment;– resolving global and local extrema issues during real-time hierarchical system state evaluation;– enabling directed searches by multiple swarm particles in a specific direction;– considering the degree of uncertainty;– allowing for repeated analysis of complex real-time hierarchical systems.
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Mannonen, Leena, Ulrika Kurten, Anneli Ritala, et al. "Biotechnology for the improvement of malting barley." In European Brewery Convention. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780199634668.003.0009.

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Abstract A method for the transformation of barley has been developed. The first application of this method for the genetic improvement of malting barley quality is the transfer of a gene coding for thermostable B-glucanase that enhances modification of the malt and helps towards a trouble-free brewing process. In the first phase research has been focused on barley cell culture technology and on development of the gene transfer methods.
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Saxena, Shreshtha, Mangesh P. Moharil, Avinash P. Ingle, Gopika K. Mote, and Vedikaa Dhiman. "BIOENGINEERING ENERGY CROPS: MULTI-OMICS AND GENOME EDITING STRATEGIES TO ENHANCE POLYSACCHARIDES COMPOSITION IN BIOMASS." In Futuristic Trends in Biotechnology Volume 3 Book 7. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bdbt7p1ch8.

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The utilization of cellulosic biomass as a raw material for the production in biorefineries is widespread due to its cost-effectiveness, recyclability, and availability. However, existing biorefineries are still expensive and inefficient. This is largely due to the recalcitrant nature of lignocellulosic biomass, which necessitates expensive pretreatment processes to degrade the plant cell wall and lignocellulolytic enzymes to convert cellulose to glucose. Multi-omics and genome editing are possible approaches to lower the cost of operating biorefineries while also increasing the amount of energy extracted from biomass. It has been reported that genetic engineering is a successful method for enhancing agricultural plants' productivity, biomass yields, and specific traits. This chapter examines the development of various genetic modification approaches to modify plant cell walls. It proposes the application of genetic modification ofvarious plants, as a potential solution to the high costs and limited yields associated with biorefineries also utilizing agricultural waste as a feedstock for generation energy. Overall, the development of reliable and effective lignocellulosic biomass conversion procedures into bioproducts should be facilitated by the combination of various molecular biology and multi-omics approach that concurrently gather structural and chemical information regarding the biomass.
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Welsh, John, Manuel Perucho, Miguel Peinado, David Ralph, and Michael Mcclelland. "Fingerprinting of DNA and RNA using arbitrarily primed PCR." In PCR2. Oxford University PressOxford, 1995. http://dx.doi.org/10.1093/oso/9780199634255.003.0011.

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Abstract Arbitrarily primed PCR is a modification of PCR that provides an informationrich fingerprint of genomic DNA. This method is based on the selective amplification of genomic sequences that, by chance, are flanked by adequate matches to an arbitrarily chosen primer. If two template genomic DNA sequences are different, their arbitrarily primed PCR products display different banding patterns. Such differences can be exploited in ways largely analogous to the uses of restriction fragment length polymorphisms, including genetic mapping, taxonomy, phylogenetics, and the detection of mutations.
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Sargar, Pramod, Smita Deshmukh, Gajanan Naik, Swapnil Baraskar, and Shivaji Mehtre. "Distant Hybridization." In Elements of Plant Breeding. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/nbennurch220.

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Distant hybridization, which can shatter species boundaries, boost genetic diversity, and blend the biological traits of existing species, refers to crossings between two distinct species, genera, or higher-ranking taxa. It is a crucial method for developing genetic diversity, viable strains, and superior traits in new strains and populations. Wide crosses play a crucial role in crop improvement because they are an effective tool for transferring genes from wild forms and relatives into cultivated cultivars for disease resistance and for enhancing various quality parameters in cultivated plant species. Wide crosses should have specific problems including cross incompatibility, hybrid inviability, hybrid breakdown, and hybrid sterility in addition to applications. To solve these problems, certain methods are employed, including pollen mixing, bridge crossings, ploidy level modification, and embryo rescue
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Conference papers on the topic "Genetic modification method (GMM)"

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Jinghui Gao, Rui Shan, Hongfang Cui, and Weihe Ren. "A new method for modification consistency of the judgment matrix based on genetic ant algorithm." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002416.

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Ugryumov, Mykhaylo L., Victoria E. Afanasjevska, Aleksej A. Tronchuk, and Andriy V. Myenyaylov. "Stochastic Optimization Models and Method in the Turbomachines System Improvement Problem." In ASME-JSME-KSME 2011 Joint Fluids Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ajk2011-22057.

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The approach of system improvement, methodology and information technology of turbofan engine elements main parameters and operating tolerances robust estimation on basis of inverse problems concept by stochastic optimization problem are proposed. The method of multicriterion system modification problem quasisolution searching with input data uncertainly and with bordering of feasible solution class is offered. Quasisolution synthesis is realized by regularization of smoothing functional minimum searching with using the A.N. Tihonov’s method. The multicriterion modification problem numerical s
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Vaghefi, Navid S., Mahdi Nili Ahmadabadi, and Mohammad R. Roshani. "Optimal Design of Axe-Symmetric Diffuser via Genetic Algorithm and Ball-Spine Inverse Design Method." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87924.

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In this research, an optimal aerodynamic design of an axe-symmetric diffuser is performed via combination of a developed boundary layer numerical code, BSA inverse design Algorithm and genetic optimization algorithm. To do this, developed numerical boundary layer code is incorporated into the genetic algorithm to reach to an optimum pressure distribution on the wall in such a way that the maximum pressure recovery is obtained without separation. To validate the developed boundary layer code, the calculated quantities are compared with Blasius and Howart’s analytical results. Then, the optimize
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Kong, Changduk, Seonghee Kho, Jayoung Ki, and Yongmin Jun. "A Novel Method for Component Map Identification of a Gas Turbine Using Intelligent Method and Engine Performance Deck Data." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27569.

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In this study a component map generation method which can identify component characteristics conversely from limited performance deck data provided by engine supplier was newly proposed using a hybrid method with the genetic algorithms and the system identification method. Generally component performance characteristics of compressor and turbine can be expressed as the third order equation with the related function of the engine rotational speed versus the pressure ratio, the mass flow function and the isentropic efficiency. According to the newly proposed scheme, firstly the scaling is perfor
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Xing, Xiaolong, Qidong Chen, and Bo Liu. "The establishment of cascade experimental sample bank and the modification of empirical model." In GPPS Hong Kong24. GPPS, 2023. http://dx.doi.org/10.33737/gpps23-tc-050.

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Based on 1548 test conditions obtained from 24 groups of axial compressor cascade test, a cascade aerodynamic performance sample library is established. On this basis, a typical reference deviation angle model and a off-design deviation angle model are selected respectively. Then, aiming at the problem of poor accuracy of traditional empirical model in high load cascade performance prediction, the key coefficients in the model were optimized by genetic optimization method based on the established cascade performance sample library, and the calculation error of the optimized deviation angle mod
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Lo Gatto, E., Y. G. Li, and P. Pilidis. "Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm." In ASME Turbo Expo 2006: Power for Land, Sea, and Air. ASMEDC, 2006. http://dx.doi.org/10.1115/gt2006-90299.

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Gas turbine gas path diagnostics is heavily dependent on performance simulation models accurate enough around a chosen diagnostic operating point, such as design operating point. With current technology, gas turbine engine performance can be predicted easily with thermodynamic models and computer codes together with basic engine design data and empirical component information. However the accuracy of the prediction is highly dependent on the quality of those engine design data and empirical component information such as component characteristic maps but such expensive information is normally e
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Cui, Jia-Ming, and Wen-Bin Shangguan. "Analysis and Experimental Research on Whine Noise of the Engine Balance Shaft Gear System." In Noise and Vibration Conference & Exhibition. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1152.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;An Inline 4-cylinder engine is equipped with second-order balance shafts. When the engine is running under no-load acceleration conditions, the gear system of the balance shaft generated whine noise. In this paper, an analysis and experiment method for reducing the whine noise is presented. First, a flexible multi-body dynamic model of the engine is established, which includes shaft and casing deformation, micro-modification of the gears. Taking the measured cylinder pressure as input, the load on each gear of balance sh
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Zhang, Lijun, Yujie Wang, Dejian Meng, and Wenbo Li. "Analysis of Vibration Characteristics of High-Speed Reducer for Pure Electric Vehicles." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2721.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;In view of the vibration and noise problem in the electric drive system, the vibration characteristics of its high-speed reducer are analyzed and studied. Through the vibration and noise bench test of the integrated electric drive system, the contribution of high-speed reducer gear meshing order vibration noise to the vibration noise of the electric drive system was studied. A rigid-flexible coupling dynamic model of high-speed reducer was established, and the accuracy of the model was verified. At the same time, based o
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Diab, Nadim, and Ahmad Smaili. "An Elitist Ants-Search Based Method for Optimum Synthesis of Rigid-Linkage Mechanisms." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51374.

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Mechanical linkages are widely used in the industry and the synthesis of such mechanisms may require optimization depending on the number of precision positions required. Many intelligent optimization techniques (Genetic, Tabu, Simulated Annealing, etc) have been proposed in the literature, one of them being the Ant-Search which was first proposed by the authors in 2007. In this paper, a Modified Ant-Search (MAS) technique is proposed to optimize the synthesis of a four-bar mechanism with a path generation task. Two major improvements are applied over the previous algorithm: ants pheromone upd
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10

ElMaraghy, Hoda A., Ashraf O. Nassef, and Waguih H. ElMaraghy. "Dimensional Adjustment for Assemblability of Rapid Protoyped Parts." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48722.

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Recent advances in rapid prototyping technology make it a useful tool in assessing the early designs of not only individual parts but also assemblies. These rapid assemblies should allow the designers to evaluate the desired functional requirements for the actual fabricated parts. However, the rapid prototyping errors, especially shrinkage, make it difficult to emulate such functional requirements in the prototype. This paper presents an algorithm for the optimal adjustment of the nominal dimensions of rapid prototyped parts to maximize the probability of adherence to the assembly functional r
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