Answer:
One sheave means that you are using a single drum winder. They are the worst! Double drum winders control easier, brake better and are much more efficient. They save time ( two skips or cages) and can be clutched to perform faster shift transport. A single drum is slow, unbalanced and can be a nightmare if it trips out during hoisting. If the brake system is not perfect it can be a real hairy experience. For a runaway single drum, there is no counterbalance effect. It always runs to destruction. With a double drum, the driver still has a chance to control the winder to a certain extent and he has two sets of brakes to rely on. A single sheave could also mean a shaft with a single compartment. No second means of escape unless there are ladders or stairways. Not a very healthy situation.
Those are just a few points. I am sure much more can be said in favor of a double drum winder and two or more sheaves in the headgear. Most of the shafts I have worked at have multiple winders and up to ten compartments. They all have a small single drum service winder for emergencies and moves of personnel during shift times. They are referred to as the Mary - Annes. Apparently, the name originated in the U.K. where an aristocratic mine owner named the first such winder after his mistress.
Explanation:
<em>Hope you got it </em>
<em>If you have any question just ask me</em>
<em>If you think this is the best answer please mark me as BRAINLIEST</em>
True, personalization is definitely part of this.
Answer:
one sec
what is that called?
if you have more than one try
then you should just take an "EDUCATIONAL GUESS"
it's a 50/50 chance
just take it
Explanation:
<h2><u><em>
YOU GOT THIS MAN! :3</em></u></h2>
Answer:
Explanation:
If L(D1) = L(D2), the D has every state being final
If L(D1) = L¯(D2), the D has every state being final
If L(D1) = ∅, then L(D) = L(D2).
If L(D1)=Σ, L(D) = L(D2)
Answer:
A Red Black Tree is a type of self-balancing(BST) in this tree ,each node is red or black colored. The red black tree meets all the properties of the binary search tree, but some additional properties have been added to a Red Black Tree.
A Red-Black tree's height is O(Logn) where (n is the tree's amount of nodes).
In a red-black tree with black height k
The maximum number of internal nodes is 
.
The smallest possible number is 
.
