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4 years ago

What is an unmanned space mission

Engineering

1 answer:

Charra [1.4K]4 years ago

7 0

Answer:

Unmanned space missions are those using remote-controlled spacecraft.

Explanation:

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4. Set the height of the cutting tool tip

pav-90 [236]

Answer:

Explanation:

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3 years ago

1. It is known that there are some disadvantages in the casting of metal materials if the casting rate is high. Contrary to this

salantis [7]

Answer:

Some of the demerits or disadvantages of using a very slow castings rates in production of metal by the method of casting includes, with the solidification of metal, it may begin even before the mold is filled fully, which may result in defects such as shrinkage.

Secondly, the rate of slow casting will create castings that have a grain coarse structure that will affect the strength of the castings.

Explanation:

Solution

The disadvantageous of slow casting rates in the production of metals by casting method is explained below:

(1) The solidification of metal may start even before the mold is filled completely, which may create or produce defects such as mis-runs and shrinkage and shrinkage cavity.

So, the slow cavity rate will produce partial and incomplete castings

(2) Slow casting rate will produce castings which have a coarse grain structure which therefore affects the strength of the castings adversely.

6 0

4 years ago

Problem: design the following rectangular floor beam for a building.

sammy [17]

Answer:

Area required = 9.5 ft²

Explanation:

Step by step explanation is given in the attached document.

8 0

4 years ago

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Let's model this housing price data! Before we can do this, however, we need to split the data into training and test sets. Reme

Lilit [14]

The program reads in a dataset into a pandas dataframe, and uses the train_test_split function in the sklearn library to split the data into training and test sets. The code goes thus :

import pandas as pd

#import the pandas dataframe and alias it as pd

from sklearn.model_selection import train_test_split

#import the train_test_split function

housing_df = pd.read_csv('housing price.csv')

#read in the housing data

features_df = df.iloc[:,1:]

#seperate the features from the label ;

target_df = df.iloc[:,0]

#put the label into a seperate dataframe as well.

X_train, X_test, Y_train, Y_test = train_test_split(features_df, target_df, test_size = 0.1, random_state = 1)

#uses tuple unpacking to randomly assign the data each of the 4 variables.

#Test size is test percent of the entire dataset

Learn more :brainly.com/question/4257657?referrer=searchResults

3 0

3 years ago

CAN YALL GO FOLLOW MY INSTAGRAM PLSS

lions [1.4K]

Answer:

what is it

Explanation:

7 0

3 years ago

Read 2 more answers