The visual impression represents a compound process of a group of concepts that might be secondary and interrelated to constitute, in reality, a cognitive image stored in the memory that can be retrieved according the implications of the situation in which the individual lives in his environment, as it awakens in him an image from the sub consciousness, thus it gets stimulated, and it is among the tangible things.
Since we live in our contemporary world under the development of knowledge, micro and wide technology of the devices, tools, materials, mechanisms, current developments and openness… etc. this transformation created visual impressions that the individual in general and the consumer in specific enjoys concerning his preferences for the image of the industrial product.
Thus, the current research problem can be established through an attempt to discover the consumer's awareness level and education, which depends on his visual impressions in preferring the industrial products that are characterized by high quality and technology in the operation mechanisms and the demonstration techniques, which generates functional and other aesthetic dimensions. Therefore, the researcher determined the following question:
What are the functional and aesthetic dimensions of the industrial product and their implications on the creation of a visual impression on the consumer?
The current research aimed at:
1- Identifying the aesthetic and functional dimensions of the industrial product.
2- Reaching the influences of the aesthetic and functional dimensions of the industrial product over the creation of the consumer's visual impression.
The research community is made of the industrial products designed in (2019) by Samsung, and a random sample represented by (automatic washing machine- electronic refrigerator- television screen) has been chosen.
Therefore, these samples have been subjected to the analysis and investigation process to verify the aim of the current research. The following are some conclusions:
1- The idea of the industrial designer, when implementing the product, requires achieving the functional dimensions of it represented by the ease of use according to clear operation mechanisms for the consumer through relying on advanced high efficiency systems.
2- The industrial product can have a high technology which reduces the consumer's time and effort in the process of the functional use of this product in a way suitable with the concept of performance and achieves the benefit.
Production logging is used to diagnose well production problems by evaluating the flow profile, entries of unwanted fluids and downhole flow regimes. Evaluating wells production performance can be easily induce from production logs through interpretation of production log data to provide velocity profile and contribution of each zone on total production. Production logging results supply information for reservoir modeling, provide data to optimize the productivity of existing wells and plan drilling and completion strategies for future wells. Production logging was carried out in a production oil well from Mishrif formation of West Qurna field, with the objective to determine the flow profile and fluid contributions from the perforations af
... Show MoreSulfamethoxazole (SMX) was added to P-N,N-dimethyl amino benzaldehyde (PDAB) by condensation reaction in acidic medium to form, a yellow colored dye compound which exhibits maximum absorption (λmax) at 450.5 nm. The concentration of (SMX) was determined spectrophotometrically. The optimum reaction conditions and other analytical parameters were evaluated. In addition to classical univariate optimization, design of experiment method has been applied in optimization of the variables affecting the color producing reaction. Beer’s law obeyed in the concentration range of 0.1-10 μg.mL-1 with molar absorptivity of 5.7950×104 L.mol-1.cm-1. The limit of detection and Sandell's sensitivity value were 0.078 μ
... Show MoreIn this paper the effect of engagement length, number of teeth, amount of applied load, wave propagation time, number of cycles, and initial crack length on the principal stress distribution, velocity of crack propagation, and cyclic crack growth rate in a spline coupling subjected to cyclic torsional impact have been investigated analytically and experimentally. It was found that the stresses induced due to cyclic impact loading are higher than the stresses induced due to impact loading with high percentage depends on the number of cycles and total loading time. Also increasing the engagement length and the number of teeth reduces the principal stresses (40%) and
(25%) respectively for increasing the engagement length from (0.15 to 0
Transmission lines are generally subjected to faults, so it is advantageous to determine these faults as quickly as possible. This study uses an Artificial Neural Network technique to locate a fault as soon as it happens on the Doukan-Erbil of 132kv double Transmission lines network. CYME 7.1-Programming/Simulink utilized simulation to model the suggested network. A multilayer perceptron feed-forward artificial neural network with a back propagation learning algorithm is used for the intelligence locator's training, testing, assessment, and validation. Voltages and currents were applied as inputs during the neural network's training. The pre-fault and post-fault values determined the scaled values. The neural network's p
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