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The latter affects the ergonomic characteristics of the filter: breathing resistance, dust capacity, and service duration.
Related fluid properties such as viscosity, density and specific heat capacity are constant values.
The physical properties of the air flow do not change with temperature.
The shape and area of the inlet opening affect breathing resistance, airflow velocity and airflow distribution inside the filter cartridge.
Feng, Influencing Factors of the Distribution Accuracy and the Optimal Parameters of a Pneumatic Fertilization Distributor in a Fertilizer Applicator, Agronomy. 12(9) (2022) 2222. https://doi.org/10.3390/agronomy12092222

Because the soil is compressible, deformation of the foundation will affect the whole structure.
Dongjun Wang et al.[14] summarized Mechanical models of pipe-soil analysis for pipe-platform and compared advantages and disadvantages these models.
The application of the several mechanical models in ANSYS is studied so that they can be used for practice.
Many analysis methods for the pile foundation platform considering the interaction of structure-pile-soil and nonlinear properties of the soil are put forward and researched by scholars at home and abroad.
And a whole model involving all factors makes model large and difficult to calculate.

Hybrid Intelligence Process Parameters Setting and Optimization on Differential Pressure Vacuum Casting Tian Lv1, Haiguang Zhang1, Yuanyuan Liu1,2, Qingxi Hu1,2,a 1College of Mechanical Engineering and Automation, Shanghai University, Shanghai, China 2Shanghai Key Laboratory of Mechanical Automation & Robotics ahuqingxi@shu.edu.cn Keywords: Process parameters optimization, Case-based reasoning, Neural network, Fuzzy reasoning Abstract: Considering that the problem of traditional process parameters setting in vacuum casting machine is of long period, high cost and inferior quality stability, a kind of hybrid intelligent decision model which combined with case-based reasoning, neural network and fuzzy reasoning were established.
Hybrid Intelligent Model The factors affecting the VC process are multiple and highly experience required.
If there are no similar cases, the operator will intuitively determine parameters according to material characteristics and mold properties and then automatically set appropriate parameters.
References [1] Athanasios Bikas, Nikos Pantelelis and Andreas Kanarachos: Materials Processing Technology, Vol.12 (2002) No.2, pp.112-126 [2] He W, Zhang Y F, Lee K S, Fuh J Y H, Nee A Y C: Journal of Intelligent Manufacturing, Vol.9 (1998) No.1, pp.17-27 [3] Lau H C W, Wong T T, Pun K F: Expert Systems with Applications, Vol.17 (1999) No.1, pp. 33-43 [4] Zhou Yi, Xu Boling: Journal of Nanjing University, Vol.1 (2001) No.37, pp. 72-78 [5] Yu Bin, Zhong Hanru, Zhong Muliang, Mao Zongyuan, Yuen M M F: China Mechanical Engineering, Vol.12 (2001) No.6, pp.624-628

Jeswiet Mechanical & Materials Engineering Queen's University Kingston, Ontario Canada alex@me.queensu.ca, ham@me.queensu.ca, jeswiet@me.queensu.ca Keywords: Incremental Sheet Forming, Sheet Metal Forming, Forces Abstract.
Diverse research in AISF has demonstrated the variables affecting forming.
(2004) investigated the influence of mechanical properties on formability; finding the strain hardening coefficient and the interaction of strength coefficient and strain hardening coefficient highly influenced formability.
A detailed analysis, recently completed, investigated multiple forming parameters simultaneously and the level of effect the forming parameters had on forming; the findings showed the critical factors were step size, forming angle, feed rate, spindle rotational speed, material type, material thickness, shape to be formed and tool size (Ham, 2006).
Acknowledgements The authors thank Queen's University Department of Mechanical and Materials Engineering, the Natural Science and Engineering Research Council of Canada and Novelis Global Technologies for their support in this research.

Introduction Cutting stress and heat affected layer hardly ever occurs on the surface of workpieces during Electrochemical micromachining (EMM), and moreover materials are removed or deposited through ions transferring based on the anodic dissolution mechanism, therefore, EMM should be a promising micromachining technique in the order of micron or nanometer in the short future, which are now being studied widely at home and abroad.
In the process of EMM with ultra-short current, the most important influencing factors to the removal rate of metal are machining voltage and electrolyte concentration.
But the choice of rotating speed of the micro electrode is not arbitrary, because the centrifugal force will lead to vibration of micro electrode when the rotating speed of electrode is too high, which can make the machining gap larger and affect the machining accuracy.
Due to there is the second mechanical clamping, the rotating speed of the spiral electrode should not be too high for avoiding the vibration of micro electrode.
Due to the shape of the micro spiral electrode, it is beneficial to improve the flow field of electrolyte between electrodes and raise mechanical properties, which is convenient for taking product of electrolysis away.

Introduction Residual stress is widely accepted to be a influential factor leading to fracture failure in the welded joints of pressure vessels and piping systems.
Smith, et al, Interaction of residual stress with mechanical loading in an austenitic stainless steel, Fatigue ＆ Fracture of Engineering Materials ＆ Structures. 10 (2007) 1460-2695. ].
It has been demonstrated that the introduction of residual stress can affect the near-tip stress/strain field and increase crack-tip constraint [[] J.
We assumed that there is an ideal state that both of the weld metal and base metal have the same elastic properties and plastic properties.
Due to SENT and SENB specimens have the same crack geometries and material properties, the same residual stress distribution can be expected.

Analysis on removal mechanism of algae-contained micropolluted water The filters of the BAF were selected with modified zeolite which had smaller particle size, higher adsorption and ion exchange properties.
The problem of a large number of small algae particles existed in the Lake after mechanical salvage could be solved during the large-scale outbreak of blue algae.
A new comprehensive factor predication model of algae biomass in local lake area.
Treatment efficiency and nitrification properties in three biological aerated filters (BAF) with different media.
Influencing Factors of COD Removal in Biological Aerated Filter.

The lubrication grease selection can greatly affect the reliability of compressors.
Filled PTFE is the widest used material now to make oilless piston rings because it has good properties of physics, chemistry and wear resistance; its cost is cheap, it is easy to obtain and form.
[pv] is [pv]cr-to-safety factor ratio.
Work conditions of piston rings are improved, seal properties and use lives of piston rings increase as a result of guiding ring.
Conclusions Only when oilless air compressors are reasonably designed can they have good properties and long lives, and may they be used in production and practice more and more widely.

The mechanisms and influencing factors of high temperature fatigue crack initiation and propagation were emphatically analyzed, and creep and tension fracture mechanisms of the P/M superalloy were also discussed.
The aero-engine gas turbine disk subjects to repeated high thermal and mechanical stresses during service.
As a result, a main factor limiting the life of the turbine disk is fatigue failure.
The reason for that is: fatigue damage formation in polycrystalline nickel based P/M superalloy is primarily driven by irreversible slip on the scale of the microstructure; microstructure attributes affect local driving forces for fatigue crack formation and early growth.
And the larger grains associated with higher Schmid factors are oriented favorably for slip.

The unique properties of SMA arise from phase transformations, where the crystal structure is rearranged.
The objective of this study is to investigate the influence of using Nitinol, a shape memory alloy, on the performance and mechanical properties of laminated composites.
Specifically, the study aims to analyze the effects of pre-strain on the mechanical properties of the laminated composites, particularly under impact loading using the Charpy method.
As such, we can confidently conclude that our model has successfully captured essential variations in the data, leading to meaningful insights into the factors under examination.
Other factors such as geometric discontinuities or voids can also serve as initiation points for delamination [16].