The synchronous speed (rpm) equals 60 times the frequency divided by the number of pole pairs. For 50Hz, a two-pole motor will have a synchronous speed of 3000 rpm, a four-pole motor of 1500 rpm.
The actual speed is a few percent lower due to the slip of the asynchronous motor.
The slip increases with the torque, typical values are 5–10%. The rated speed for a four-pole motor at 50Hz will thus be something like 1360 rpm. At no-load, the slip is very small.
Answer:
<em><u>Convenience products.</u></em>
Explanation:
Convenience products are those goods or services that are purchased by the consumer with high frequency without comparison criteria or high purchasing efforts. These products are widely distributed so that the consumer has the availability of purchase at any time. Examples include magazines, fast food, detergents and beverages.
Some of its features are:
- Low price,
- Classified as non-durable goods,
- High frequency of replacement at points of sale,
- Easy replacement products
Answer:
Ending inventory : $868
Explanation:
FIFO (First-In-First-Out) is a method of inventory valuation where the inventory that is received first is sold first. In other words, the earliest inventory is used first. This is common for perishable inventory such as fruits and vegetables which if not used fast, will be wasted.
01/01/21 : Beginning Inventory : 200 units x $5 = $1000
01/15/21 : Purchases : 100 units x $5.3 = $530
01/28/21 : Purchases : 100 units x $5.5 = $550
Total units = 200 + 100 + 100 = 400 units
Units sold = Total inventory available for sale - ending inventory
= 400 - 160 = 240 units.
COGS:
Beginning Inventory : 200 units x $5 = $1000
Purchases : 40 units x $5.3 = $212
Cost of goods sold : $1000 + $212 = $1212
Ending inventory:
Purchases : (100 - 40) units x $5.3 = $318
Purchases : 100 units x $5.5 = $550
Ending inventory : $318 + $550 = $868
A. $625.71
619+619×0.13/12
Answer:
About the Lagrangian method,
We can use it to solve both consumer's utility maximization and firm's cost minimization problems.
Explanation:
Lagrangian method is a mathematical strategy for finding the maxima and the minima of a function subject to equality constraints. Equality constraints mean that one or more equations have to be satisfied exactly by the chosen values of the variables. Named after the mathematician, Joseph-Louis Lagrange, the basic idea behind the Lagrangian method is to convert a constrained problem into a Lagrangian function.
