65 research outputs found
ΠΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ ΠΏΡΠΎΡΠ΅ΡΡ ΠΎΠ±ΠΌΠ΅Π½Π° Π΄Π°Π½Π½ΡΠΌΠΈ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²ΠΎΠΌ
Growing vehicle variant diversity, legal requirements to reduce fleetΒ CO2 emissions and innovations in the area of drive train technologies, coupled with the increasing pressure to cut costs, pose new challenges for parties in the automotive sector. An implementation of optimized development and production processes supports the effective handling of these challenges. One important aspect includes engineering efficiency improvement by optimizing the entire automotive bodywork development process and the involved data management. Research activities focus on the data exchange processes between design, simulation and production engineering within various CAxΒ environments. This concerns constantly changing boundary conditions and requirements in the area of automotive body development, including but not limited to the introduction of new materials and material combinations and new types of joining technologies. From the viewpoint of an automotive engineering supplier, additional challenges caused by different customer-related development environments have to be considered. To overcome these challenges, various data exchange strategies between OEMs (Original Equipment Manufacturer), automotive suppliers and the use of different data management tools need to be investigated. In this context, the paper presents an approach of an optimized data exchange process of CAD-based data between different CAD (Computer-Aided Design) and CAM (Computer-Aided Manufacturing) environments that supports the entire body development, including data provision for manufacturing engineering. In addition, an optimization of data exchange processes saves development costs and improves the product quality.Π Π°ΡΡΡΡΠ΅Π΅ ΡΠ°Π·Π½ΠΎΠΎΠ±ΡΠ°Π·ΠΈΠ΅ Π²Π°ΡΠΈΠ°Π½ΡΠΎΠ² ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ², Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠΎ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΡ Π²ΡΠ±ΡΠΎΡΠΎΠ²Β CO2 ΠΈΠΌΠΈ, ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΈ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΡΠ°Π½ΡΠΌΠΈΡΡΠΈΠΈ Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ ΡΡΠΈΠ»ΠΈΠ²Π°ΡΡΠΈΠΌΡΡ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ, Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΠΌ Π½Π° ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΠ΅ ΡΠ°ΡΡ
ΠΎΠ΄ΠΎΠ², ΡΡΠ°Π²ΡΡ Π½ΠΎΠ²ΡΠ΅ Π·Π°Π΄Π°ΡΠΈ ΠΏΠ΅ΡΠ΅Π΄ ΡΡΠ°ΡΡΠ½ΠΈΠΊΠ°ΠΌΠΈ Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΠΊΡΠΎΡΠ°. ΠΠ½Π΅Π΄ΡΠ΅Π½ΠΈΠ΅ ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΈΠ²Π°Π΅Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΡΡΠΈΡ
ΠΏΡΠΎΠ±Π»Π΅ΠΌ. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· Π²Π°ΠΆΠ½ΡΡ
Π°ΡΠΏΠ΅ΠΊΡΠΎΠ² ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π·Π° ΡΡΠ΅Ρ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π²ΡΠ΅Π³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΊΡΠ·ΠΎΠ²Π° ΠΈ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ Π΄Π°Π½Π½ΡΠΌΠΈ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠ°Ρ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΡΠΎΡΡΠ΅Π΄ΠΎΡΠΎΡΠ΅Π½Π° Π½Π° ΠΏΡΠΎΡΠ΅ΡΡΠ°Ρ
ΠΎΠ±ΠΌΠ΅Π½Π° Π΄Π°Π½Π½ΡΠΌΠΈ Π½Π° ΡΡΠ°ΠΏΠ°Ρ
ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π° Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΡΠ΅Π΄Π°Ρ
Π‘ΠΡ
. ΠΡΠΎ ΠΊΠ°ΡΠ°Π΅ΡΡΡ ΠΏΠΎΡΡΠΎΡΠ½Π½ΠΎ ΠΌΠ΅Π½ΡΡΡΠΈΡ
ΡΡ Π³ΡΠ°Π½ΠΈΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΈ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΠΊ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΊΡΠ·ΠΎΠ²ΠΎΠ² Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»Π΅ΠΉ, Π²ΠΊΠ»ΡΡΠ°Ρ, ΠΏΠΎΠΌΠΈΠΌΠΎ ΠΏΡΠΎΡΠ΅Π³ΠΎ, Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΠ΅ Π½ΠΎΠ²ΡΡ
ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΠΎΠ² ΠΈ ΠΈΡ
ΠΊΠΎΠΌΠ±ΠΈΠ½Π°ΡΠΈΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ Π½ΠΎΠ²ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠ±ΠΎΡΠΊΠΈ. Π‘ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ ΠΏΠΎΡΡΠ°Π²ΡΠΈΠΊΠ° Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΠΎΠΉ ΡΠ΅Ρ
Π½ΠΈΠΊΠΈ, Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ ΡΡΠΈΡΡΠ²Π°ΡΡ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠ°ΠΊΡΠΎΡΡ, Π²ΡΠ·Π²Π°Π½Π½ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΡΠ΅Π΄Π°ΠΌΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Ρ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΡΠΌΠΈ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Ρ. Π§ΡΠΎΠ±Ρ ΡΠ΅ΡΠΈΡΡ ΡΡΠΈ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ, Π½ΡΠΆΠ½ΠΎ ΠΈΠ·ΡΡΠΈΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ ΠΎΠ±ΠΌΠ΅Π½Π° Π΄Π°Π½Π½ΡΠΌΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΠΠΠ-ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠΌΠΈ (ΠΠΠ β ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»Ρ ΠΎΡΠΈΠ³ΠΈΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ) ΠΈ ΠΏΠΎΡΡΠ°Π²ΡΠΈΠΊΠ°ΠΌΠΈ Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»Π΅ΠΉ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ². Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ ΠΏΡΠΎΡΠ΅ΡΡ ΠΎΠ±ΠΌΠ΅Π½Π° Π΄Π°Π½Π½ΡΠΌΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π‘ΠD (ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠ΅ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅) ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΡΠ΅Π΄Π°ΠΌΠΈ CAD ΠΈ CAM (ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠ½ΠΎΠ΅ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²ΠΎ), ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΈΠ²Π°Π΅Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΡ Π²ΡΠ΅Π³ΠΎ ΠΊΡΠ·ΠΎΠ²Π°, Π²ΠΊΠ»ΡΡΠ°Ρ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π΄Π»Ρ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΈΠΊΠ»Π°. ΠΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΎΠ±ΠΌΠ΅Π½Π° Π΄Π°Π½Π½ΡΠΌΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠΌΠ΅Π½ΡΡΠΈΡΡ Π·Π°ΡΡΠ°ΡΡ Π½Π° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΡ ΠΈ ΡΠ»ΡΡΡΠΈΡΡ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ
ΠΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΡ ΡΠΈΠ»ΠΎΠ²ΡΡ ΡΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ ΠΏΡΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π»Π΅Π²ΡΠΌΠΈ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠΌΠΈ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ
Electric drive systems consisting of battery, inverter, electric motor and gearbox are applied in hybridor purely electric vehicles. The layout process of such propulsion systems is performed on system level under consideration of various component properties and their interfering characteristics. In addition, different boundary conditions are taken under account, e. g. performance, efficiency, packaging, costs. In this way, the development process of the power train involves a broad range of influencing parameters and periphery conditions and thus represents a multi-dimensional optimization problem. Stateof-the-art development processes of mechatronic systems are usually executed according to the V-model, which represents a fundamental basis for handling the complex interactions of the different disciplines involved. In addition, stage-gate processes and spiral models are applied to deal with the high level of complexity during conception, design and testing. Involving a large number of technical and economic factors, these sequential, recursive processes may lead to suboptimal solutions since the system design processes do not sufficiently consider the complex relations between the different, partially conflicting domains. In this context, the present publication introduces an integrated multi-objective optimization strategy for the effective conception of electric propulsion systems, which involves a holistic consideration of all components and requirements in a multi-objective manner. The system design synthesis is based on component-specific Pareto-optimal designs to handle performance, efficiency, package and costs for given system requirements. The results are displayed as Pareto-fronts of electric power train system designs variants, from which decision makers are able to choose the best suitable solution. In this way, the presented system design approach for the development of electrically driven axles enables a multi-objective optimization considering efficiency, performance, costs and package. It is capable to reduce development time and to improve overall system quality at the same time.Π‘ΠΈΡΡΠ΅ΠΌΡ ΡΠ»Π΅ΠΊΡΡΠΎΠΏΡΠΈΠ²ΠΎΠ΄Π°, ΡΠΎΡΡΠΎΡΡΠΈΠ΅ ΠΈΠ· Π°ΠΊΠΊΡΠΌΡΠ»ΡΡΠΎΡΠ°, ΠΈΠ½Π²Π΅ΡΡΠΎΡΠ°, ΡΠ»Π΅ΠΊΡΡΠΎΠ΄Π²ΠΈΠ³Π°ΡΠ΅Π»Ρ ΠΈ ΠΊΠΎΡΠΎΠ±ΠΊΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°Ρ, ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ Π² Π³ΠΈΠ±ΡΠΈΠ΄Π½ΡΡ
ΠΈΠ»ΠΈ ΡΠΈΡΡΠΎ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ²Π°Ρ
. ΠΡΠΎΡΠ΅ΡΡ ΠΊΠΎΠΌΠΏΠΎΠ½ΠΎΠ²ΠΊΠΈ ΡΠ°ΠΊΠΈΡ
Π΄Π²ΠΈΠΆΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΎΡΡΡΠ΅ΡΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π° ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠΌ ΡΡΠΎΠ²Π½Π΅ Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ²ΠΎΠΉΡΡΠ² ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² ΠΈ ΠΈΡ
ΠΈΠ½ΡΠ΅ΡΡΠ΅ΡΠΈΡΡΡΡΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ. ΠΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΡΡΠΈΡΡΠ²Π°ΡΡΡΡ ΡΠ°Π·Π½ΡΠ΅ Π³ΡΠ°Π½ΠΈΡΠ½ΡΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ, Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ, ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ, ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠΎΠ²Π°Π½ΠΈΠ΅, ΡΡΠΎΠΈΠΌΠΎΡΡΡ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΏΡΠΎΡΠ΅ΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠΈΠ»ΠΎΠ²ΠΎΠΉ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π²ΠΊΠ»ΡΡΠ°Π΅Ρ Π² ΡΠ΅Π±Ρ ΡΠΈΡΠΎΠΊΠΈΠΉ Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½ Π²Π»ΠΈΡΡΡΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈ ΠΏΠ΅ΡΠΈΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ»ΠΎΠ²ΠΈΠΉ ΠΈ ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠΎΠ±ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ. Π‘ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΌΠ΅Ρ
Π°ΡΡΠΎΠ½Π½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ ΠΎΠ±ΡΡΠ½ΠΎ Π²ΡΠΏΠΎΠ»Π½ΡΡΡΡΡ Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ V-ΠΌΠΎΠ΄Π΅Π»ΡΡ, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠΎΠ±ΠΎΠΉ ΡΡΠ½Π΄Π°ΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ ΠΎΡΠ½ΠΎΠ²Ρ Π΄Π»Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ»ΠΎΠΆΠ½ΡΠΌΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡΠΌΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
Π΄ΠΈΡΡΠΈΠΏΠ»ΠΈΠ½. ΠΡΠΎΠΌΠ΅ ΡΠΎΠ³ΠΎ, ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ ΡΡΠ°ΠΏΠ½ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΈ ΡΠΏΠΈΡΠ°Π»ΡΠ½ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΡΡΠΎΠ±Ρ ΡΠΏΡΠ°Π²ΠΈΡΡΡΡ Ρ Π²ΡΡΠΎΠΊΠΈΠΌ ΡΡΠΎΠ²Π½Π΅ΠΌ ΡΠ»ΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΏΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅, ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΈ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ. ΠΠΎΠ²Π»Π΅ΠΊΠ°Ρ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΡΡΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠ΅ΠΊΡΡΡΠΈΠ²Π½ΡΠ΅ ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΌΠΎΠ³ΡΡ ΠΏΡΠΈΠ²Π΅ΡΡΠΈ ΠΊ Π½Π΅ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΡΠΌ, ΠΏΠΎΡΠΊΠΎΠ»ΡΠΊΡ ΠΏΡΠΎΡΠ΅ΡΡΡ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΡΡΠΈΡΡΠ²Π°ΡΡ ΡΠ»ΠΎΠΆΠ½ΡΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ, ΡΠ°ΡΡΠΈΡΠ½ΠΎ ΠΊΠΎΠ½ΡΠ»ΠΈΠΊΡΡΡΡΠΈΠΌΠΈ ΠΎΠ±Π»Π°ΡΡΡΠΌΠΈ. Π ΡΡΠΎΠΌ ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ Π½Π°ΡΡΠΎΡΡΠ°Ρ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΠΈΠ½ΡΠ΅Π³ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π»Π΅Π²ΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π΄Π»Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΈΠ»ΠΎΠ²ΡΡ
ΡΡΡΠ°Π½ΠΎΠ²ΠΎΠΊ, Π²ΠΊΠ»ΡΡΠ°ΡΡΡΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ΅ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΈΠ΅ Π²ΡΠ΅Ρ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² ΠΈ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π»Π΅Π²ΠΎΠΉ ΠΎΡΠ½ΠΎΠ²Π΅. Π‘ΠΈΠ½ΡΠ΅Π· ΡΠΈΡΡΠ΅ΠΌΠ½ΠΎΠ³ΠΎ Π΄ΠΈΠ·Π°ΠΉΠ½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ Π½Π° ΠΠ°ΡΠ΅ΡΠΎ-ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΡΡ
ΡΠΎ ΡΠΏΠ΅ΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ°ΠΌΠΈ Ρ ΡΠ΅Π»ΡΡ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ°Π±ΠΎΡΡ, ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ, ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ°ΡΠΈΠΈ ΠΈ Π·Π°ΡΡΠ°Ρ, ΠΏΡΠ΅Π΄ΡΡΠΌΠΎΡΡΠ΅Π½Π½ΡΡ
Π΄Π»Ρ Π΄Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΎΡΠΎΠ±ΡΠ°ΠΆΠ°ΡΡΡΡ Π² Π²ΠΈΠ΄Π΅ ΠΠ°ΡΠ΅ΡΠΎ-ΡΡΠΎΠ½ΡΠΎΠ² Π²Π°ΡΠΈΠ°Π½ΡΠΎΠ² ΡΠΈΡΡΠ΅ΠΌ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ°Π½ΡΠΌΠΈΡΡΠΈΠΉ, ΠΈΠ· ΠΊΠΎΡΠΎΡΡΡ
Π»ΠΈΡΠ°, ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΡΠΈΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ, ΠΌΠΎΠ³ΡΡ Π²ΡΠ±ΡΠ°ΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΡΡΠ΅Π΅ ΠΈΠ· Π½ΠΈΡ
. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΎΡΠ΅ΠΉ Ρ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΎΠΌ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π»Π΅Π²ΡΡ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ, ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ ΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ°ΡΠΈΠΈ. ΠΠ°Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠΎΠΊΡΠ°ΡΠΈΡΡ Π²ΡΠ΅ΠΌΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈ ΠΎΠ΄Π½ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΡΡ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΠΈΡΡΠ΅ΠΌΡ
A reevaluation of forces measured across thin polymer films : nonequillibrium and pinning effects
We have measured forces between molecularly smooth solid surfaces separated by thin films of molten polydimethylsiloxane. We show that a long-range repulsion reported in earlier work is not an equilibrium force, but can be attributed to viscous drag effects. Consistent with previous results, the viscosity of the film can be modeled by assuming that a layer of polymer molecules is immobilized or ‘‘pinned’’ at each surface for a time longer than the time scale of the measurements. We propose that this pinning is a result of entanglement-like effects in the vicinity of a wall. <br /
Systematic tissue collection during clinical breast biopsy is feasible, safe and enables high-content translational analyses
Detection and elimination of cellular bottlenecks in protein-producing yeasts
Yeasts are efficient cell factories and are commonly used for the production of recombinant proteins for biopharmaceutical and industrial purposes. For such products high levels of correctly folded proteins are needed, which sometimes requires improvement and engineering of the expression system. The article summarizes major breakthroughs that led to the efficient use of yeasts as production platforms and reviews bottlenecks occurring during protein production. Special focus is given to the metabolic impact of protein production. Furthermore, strategies that were shown to enhance secretion of recombinant proteins in different yeast species are presented
Expression and purification of recombinant G protein-coupled receptors: A review
Given their extensive role in cell signalling, GPCRs are significant drug targets; despite this, many of these receptors have limited or no available prophylaxis. Novel drug design and discovery significantly rely on structure determination, of which GPCRs are typically elusive. Progress has been made thus far to produce sufficient quantity and quality of protein for downstream analysis. As such, this review highlights the systems available for recombinant GPCR expression, with consideration of their advantages and disadvantages, as well as examples of receptors successfully expressed in these systems. Additionally, an overview is given on the use of detergents and the styrene maleic acid (SMA) co-polymer for membrane solubilisation, as well as purification techniques
Structure and Friction of Stearic Acid and Oleic Acid Films Adsorbed on Iron Oxide Surfaces in Squalane
ΠΠΌΠΈΡΠ°ΡΠΈΠΎΠ½Π½Π°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΠΏΡΠ°Π²Π»ΡΠ΅ΠΌΠΎΡΡΠΈ Π°Π²ΡΠΎΠΌΠΎΠ±ΠΈΠ»Π΅ΠΌ ΠΈ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ Π³ΠΈΠ±ΡΠΈΠ΄Π½ΠΎΠΉ ΡΠΈΠ»ΠΎΠ²ΠΎΠΉ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠΈ
The growing electrification of vehicle drive trains is increasing their complexity significantly. The interactions between the different drive train components should not be noticed negatively by the occupants, which is considered as good drivability and thus contributes to increasing customer acceptance. Todayβs development processes of hybrid- and electric driven cars consider energy management in earlier development phases as drivability optimization. In these early development phases, fuel- and energy consumption are optimized on the basis of standardized driving cycles. Drivability aspects and influences of real driving operation are not integrated until the prototype phase. In this way, modifications of drivabilityrelevant aspects phase are limited, which restricts the potential to find optimal solutions. In this context, the submitted paper presents an approach for assessment and optimization of the drivability of hybrid drive trains in the virtual development process. The created simulation model is exemplarily based on the P2-hybrid drive train of a VW Passat GTE. For the validation of the drive train model and the assessment of drivability, defined maneuvers were carried out on a test track and compared with the results of maneuver simulations. By simulating different driving maneuvers, the resulting acceleration oscillations, which affect the passenger, are calculated and evaluated from the aspect of drivability. The assessment method is derived from a VDI directive dealing with the effects of vibrations on the wellbeing and human health. In order to identify the influencing factors of different maneuvers and parameters of the drive train components, both were varied in the study. It turned out that change of gears and closing of the clutch had the greatest influence on the drivability and thus has the greatest potential for optimizing design and control strategy of hybrid drive trains. In this way, the presented approach enables the assessment and optimization of drivability of hybrid drive trains in the early development phase and thus reduces the gap between virtual development and prototype phase
ΠΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ ΠΏΡΠΎΡΠ΅ΡΡ ΠΎΠ±ΠΌΠ΅Π½Π° Π΄Π°Π½Π½ΡΠΌΠΈ Π² ΠΏΠ΅ΡΠΈΠΎΠ΄ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²ΠΎΠΌ
Growing vehicle variant diversity, legal requirements to reduce fleet CO2 emissions and innovations in the area of drive train technologies, coupled with the increasing pressure to cut costs, pose new challenges for parties in the automotive sector. An implementation of optimized development and production processes supports the effective handling of these challenges. One important aspect includes engineering efficiency improvement by optimizing the entire automotive bodywork development process and the involved data management. Research activities focus on the data exchange processes between design, simulation and production engineering within various CAx environments. This concerns constantly changing boundary conditions and requirements in the area of automotive body development, including but not limited to the introduction of new materials and material combinations and new types of joining technologies. From the viewpoint of an automotive engineering supplier, additional challenges caused by different customer-related development environments have to be considered. To overcome these challenges, various data exchange strategies between OEMs (Original Equipment Manufacturer), automotive suppliers and the use of different data management tools need to be investigated. In this context, the paper presents an approach of an optimized data exchange process of CAD-based data between different CAD (Computer-Aided Design) and CAM (Computer-Aided Manufacturing) environments that supports the entire body development, including data provision for manufacturing engineering. In addition, an optimization of data exchange processes saves development costs and improves the product quality
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