Flowability, wet agglomeration, and pasta processing properties of whole‐durum flour: Effect of direct single‐pass and multiple‐pass reconstituted milling systems

2019 ◽  
Vol 96 (4) ◽  
pp. 708-716
Author(s):  
Lingzhu Deng ◽  
Frank A. Manthey
Keyword(s):  
Single Pass ◽  
Multiple Pass ◽  
Processing Properties

Analytical Modeling of Top Roller Position for Multiple Pass (3-Roller) Cylindrical Forming of Plates

2006 ◽  
Author(s):  
A. H. Gandhi ◽  
H. K. Raval
Keyword(s):  
Young’S Modulus ◽  
Analytical Model ◽  
Young's Modulus ◽  
Material Behavior ◽  
Analytical Models ◽  
Radius Of Curvature ◽  
Single Pass ◽  
Multiple Pass ◽  
Efficient Performance ◽  
Constant E

As forming of the double or multiple curvature surfaces, includes roller forming at least once in the sequential process; its efficient performance is of great importance for controlling the final product dimensions. Most efficient and economical way to produce the cylinder is to roll the plate through the roller in single pass. Literature review revels that, most of the reported analytical models for the prediction of springback were developed with the assumption of zero initial strain. However, in practice multiple pass bending is recommended to work within the power limitation of the machine and to improve the accuracy of the final product. An attempt is made to develop the analytical model for estimation of top roller position as a function of desired radius of curvature, for multiple pass 3-roller forming of cylinders, considering real material behavior. Due to the change of Young's modulus of elasticity (E) under deformation, the springback is larger than the springback calculated with constant E. Developed analytical model was modified to include the effect of change of Young's modulus during the deformation. Developed multiple pass analytical models were compared with the single pass analytical model and experiments (on pyramid type 3-roller bending machine).

A comparison of two 810 diode lasers for hair removal: Low fluence, multiple pass versus a high fluence, single pass technique

2014 ◽  
Vol 46 (4) ◽  
pp. 270-274 ◽  
Author(s):  
Bonnie Koo ◽  
Kaity Ball ◽  
Anne-Marie Tremaine ◽  
Christopher B. Zachary
Keyword(s):  
Diode Lasers ◽  
Hair Removal ◽  
High Fluence ◽  
Single Pass ◽  
Multiple Pass

Ultrastructural evaluation of multiple pass low energy versus single pass high energy radio-frequency treatment

2006 ◽  
Vol 38 (2) ◽  
pp. 150-154 ◽  
Author(s):  
David Kist ◽  
A. Jay Burns ◽  
Roth Sanner ◽  
Jeff Counters ◽  
Brian Zelickson
Keyword(s):  
Radio Frequency ◽  
High Energy ◽  
Low Energy ◽  
Single Pass ◽  
Multiple Pass

Estimating riverine fish population size from single- and multiple-pass removal sampling using a hierarchical model

2002 ◽  
Vol 59 (4) ◽  
pp. 695-706 ◽  
Author(s):  
Robin J Wyatt
Keyword(s):  
Population Size ◽  
Hierarchical Model ◽  
Bayesian Approach ◽  
Salmo Trutta ◽  
Target Area ◽  
Single Pass ◽  
Multiple Pass ◽  
Individual Site ◽  
Removal Sampling ◽  
Riverine Fish

A hierarchical model is described for estimating population size from single- and multiple-pass removal sampling. The model is appropriate for two-stage sampling schemes, typified by surveys of riverine fish populations, in which multiple sites are surveyed, but a low number of passes are undertaken at each site. The model estimates the average population size within the target area from the raw catch data, and thus allows for differences in the sampling procedure at each site, such as including single-pass sampling. The model also uses the data from all sites to estimate the population size at each individual site. This results in generally improved precision for multiple-pass sites and provides comparable estimates from single-pass sites. A Bayesian approach is described for estimating the parameters of the hierarchical model using sampling importance resampling (SIR). An empirical Bayesian approach, which ignores prior uncertainty but is simpler to implement, is also described. Application of the hierarchical model is illustrated with electrofishing data for 0+ trout (Salmo trutta) in the River Inny, U.K.

Estimating local stream fish assemblage attributes: sampling effort and efficiency at two spatial scales

2006 ◽  
Vol 57 (6) ◽  
pp. 635 ◽  
Author(s):  
Mark J. Kennard ◽  
Bradley J. Pusey ◽  
Bronwyn D. Harch ◽  
Elli Dore ◽  
Angela H. Arthington
Keyword(s):  
Fish Assemblage ◽  
Statistical Power ◽  
Spatial Scales ◽  
Monitoring Program ◽  
Sampling Strategy ◽  
Sampling Effort ◽  
Population Means ◽  
Single Pass ◽  
Multiple Pass ◽  
Intensive Sampling

As part of a wider study to develop an ecosystem-health monitoring program for wadeable streams of south-eastern Queensland, Australia, comparisons were made regarding the accuracy, precision and relative efficiency of single-pass backpack electrofishing and multiple-pass electrofishing plus supplementary seine netting to quantify fish assemblage attributes at two spatial scales (within discrete mesohabitat units and within stream reaches consisting of multiple mesohabitat units). The results demonstrate that multiple-pass electrofishing plus seine netting provide more accurate and precise estimates of fish species richness, assemblage composition and species relative abundances in comparison to single-pass electrofishing alone, and that intensive sampling of three mesohabitat units (equivalent to a riffle–run–pool sequence) is a more efficient sampling strategy to estimate reach-scale assemblage attributes than less intensive sampling over larger spatial scales. This intensive sampling protocol was sufficiently sensitive that relatively small differences in assemblage attributes (<20%) could be detected with a high statistical power (1-β > 0.95) and that relatively few stream reaches (<4) need be sampled to accurately estimate assemblage attributes close to the true population means. The merits and potential drawbacks of the intensive sampling strategy are discussed, and it is deemed to be suitable for a range of monitoring and bioassessment objectives.

Single-Pass Carbon Dioxide Versus Multiple-Pass Er

2003 ◽  
Vol 29 (1) ◽  
pp. 80-84
Author(s):  
ELIZABETH L. TANZI ◽  
TINA S. ALSTER
Keyword(s):  
Carbon Dioxide ◽  
Single Pass ◽  
Multiple Pass
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